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James Packer: Works, Career & Companies
James Douglas Packer (born 8 September 1967) is an Australian billionaire businessman and investor. Packer is the son of Kerry Packer, a media mogul, and his wife, Roslyn Packer. He is the grandson of Frank Packer. He inherited control of the family company, Consolidated Press Holdings Limited, as well as investments in Crown Resorts and other companies.…
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James Packer topic overview
The analysis highlights Works, Career and Companies as prominent areas in the source structure around James Packer.
Related topics
78
Source areas
4
Connected nodes
85
Extracted relationships
127
Concept neighborhoods
20
Bridge connections
85
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Personal life · 34 topics
Career · 22 topics
Overview · 13 topics
Early life and education · 9 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Known for
Packer family
Education
Cranbrook School
Born
James Douglas Packer (1967-09-08) 8 September 1967 (age 58) Sydney, New South Wales, Australia
Children
3
Occupations
Former executive chairman of Publishing and Broadcasting Limited (PBL), Consolidated Media Holdings and Crown Resorts
Parents
Kerry Packer (father) · Roslyn Packer (mother)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How James Packer connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around James Packer shows recurring relationship patterns in the source. For example, James Packer → According, Alfonso Cuaron, Andrew Bassat, April, August, Brett Ratner, Catch, CBS's, Consolidated Media Holdings, Consolidated Press Holding, Day, Filmink, Following, George Clooney, Gravity, In, In December, Lachlan Murdoch, May, Murdoch Another extracted example is James Packer → According, Andrew Forrest, Arctic, As, Australia, Australian, Boeing, BRW, BRW Rich, Ellerston, Financial Review Rich List, Forbes, Fortescue Metals Group, In, In January, James, James Packer's, January, Kerry Packer's, Mangusta. Use these groups to spot repeated connection types before inspecting the individual relationships.
James Packer
Top relations
related to Other business activities· 33
James Packer → According, Alfonso Cuaron, Andrew Bassat, April, August, Brett Ratner, Catch, CBS's, Consolidated Media Holdings, Consolidated Press Holding, Day, Filmink, Following, George Clooney, Gravity, In, In December, Lachlan Murdoch, May, Murdoch
related to Net worth· 32
James Packer → According, Andrew Forrest, Arctic, As, Australia, Australian, Boeing, BRW, BRW Rich, Ellerston, Financial Review Rich List, Forbes, Fortescue Metals Group, In, In January, James, James Packer's, January, Kerry Packer's, Mangusta
related to Bibliography· 21
James Packer → Allen, Bantam Books, Barry, Be, Being James Packer, Billionaire, Damon, Fortune, HarperCollins, ISBN, Kitney, November, NSW, Paul, Retrieved, Rich Kids, Sydney, The Price, The Untold Story, Unwin
related to Early life and education· 18
James Packer → After, Albert, Barkly Tableland, Bellevue Hill, Cranbrook, Cranbrook School, Dunlap, Higher School Certificate, His, HSC, Kerry Packer, Newcastle Waters, Northern Territory, Packer, Roslyn, Sir Frank Packer, Sydney, Weedon
Relatives· 4
James Packer → Clyde Packer (uncle), Gretel Packer (sister), Robert Clyde Packer (great grandfather), Sir Frank Packer (grandfather)
related to External links· 3
James Packer → Laurence MacDonald Muir, Profiled, Some Inspirational People
Parents· 2
James Packer → Kerry Packer (father), Roslyn Packer (mother)
Born· 1
James Packer → James Douglas Packer (1967-09-08) 8 September 1967 (age 58) Sydney, New South Wales, Australia
Children· 1
James Packer → 3
Education· 1
James Packer → Cranbrook School
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
James Packer relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 127 structured relationships around James Packer. Examples in this analysis include James Packer → Born → James Douglas Packer (1967-09-08) 8 September 1967 (age 58) Sydney, New South Wales, Australia and James Packer → Children → 3. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
James Packer
Born
James Douglas Packer (1967-09-08) 8 September 1967 (age 58) Sydney, New South Wales, Australia
1.00
infobox
James Packer
Children
3
1.00
infobox
James Packer
Education
Cranbrook School
1.00
infobox
James Packer
Known for
Packer family
1.00
infobox
James Packer
Occupations
Former executive chairman of Publishing and Broadcasting Limited (PBL), Consolidated Media Holdings and Crown Resorts
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around James Packer bring nearby vocabulary together. In this analysis, examples include Wealth, Limited and September. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
James Packer
Wealth
Limited
September
Sydney
Million
Media
Packer
Packer's
Education
Stake
Tel
Also
james packer
Wealth
Limited
September
Sydney
Crown
Family
Million
Media
Resorts
Packer
Packer's
Education
kerry packer
Crown
Family
Million
Media
Resorts
Stake
October
Wealth
Billion
Tel
Also
Executive
roslyn packer
Crown
Family
Million
Media
Resorts
Stake
October
Wealth
Billion
Tel
Also
Executive
frank packer
Crown
Family
Million
Media
Resorts
Stake
October
Wealth
Billion
Tel
Also
Executive
crown resorts
Resorts
Holdings
Limited
Executive
Packer
Stake
Media
Family
Press
Billion
Pbl
Packer's
consolidated media holdings
Press
Holdings
Limited
Pbl
Also
Resorts
Media
Crown
Executive
Consolidated
Family
Education
net worth
Net
Worth
Assessed
Australian
Packer's
Rich
List
Billion
Brw
May
Us
Education
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For James Packer, one of the stronger structural bridges in this analysis connects James Packer with Personal life. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
James Packer — Personal life· splits 51 ⟂ 35James Packer — Career· splits 63 ⟂ 23James Packer — Overview· splits 72 ⟂ 14James Packer — Early life and education· splits 76 ⟂ 10James Packer — Bibliography· splits 83 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
James Packer
Nodes86
Edges85
Triples127
Avg. degree1.98
Density0.023256
Components1
Source & methodology
TTTA analyzes the structure around James Packer to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
