Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Jon Holmes: Career, Companies & Products
Jon Holmes (born 24 April 1969) is a British writer, producer, broadcaster, and comedian. He is the founder of Unusual Productions, an independent production company specialising in comedy, documentary and factual programming. Holmes is best known for his work on BBC Radio 4, including Dead Ringers, The Now Show, Listen Against, The Skewer and The Naked…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Jon Holmes topic overview
The analysis highlights Career, Companies and Products as prominent areas in the source structure around Jon Holmes.
Related topics
83
Source areas
8
Connected nodes
91
Extracted relationships
137
Concept neighborhoods
36
Bridge connections
91
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.
Radio · 32 topics
Television · 16 topics
Publications · 10 topics
Early career · 9 topics
Overview · 8 topics
Early life · 4 topics
Selected awards and nominations · 3 topics
Advocacy · 1 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.
Born
Jonathan Holmes (1969-04-24) 24 April 1969 (age 57) Stratford-upon-Avon, Warwickshire, England, UK
Occupations
Writer, producer, broadcaster, comedian
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 Jon Holmes 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 Jon Holmes shows recurring relationship patterns in the source. For example, Jon Holmes → Andy Show, ARIAS, Armando Iannucci's Charm Offensive, Audio Academy Awards, Audio Production Awards, Award, BAFTA, BBC, BBC Audio Drama Awards, Best Comedy, Best Comedy Producer, Best Editing, Best Investigative Documentary, Best New Show, Best Radio Comedy, Best Radio Podcast, Best Radio Programme, Best Single Documentary, Best Sound Art, Best Sound Design Another extracted example is Jon Holmes → Agony Uncle, BBC, Bot, C-Word, Cold Case Crime Cuts, Comedy, Cool Skool Sketch Show, Darren Harriott, Death, Fantasy Park, Father Figuring, Fifty Years On, Generation Shame, Holmes, Its, Jeremy Vine, Jon Holmes Says, Lost Voices, Marco Pantani, Mary Bourke. Use these groups to spot repeated connection types before inspecting the individual relationships.
Jon Holmes
Top relations
related to Selected awards and nominations· 86
Jon Holmes → Andy Show, ARIAS, Armando Iannucci's Charm Offensive, Audio Academy Awards, Audio Production Awards, Award, BAFTA, BBC, BBC Audio Drama Awards, Best Comedy, Best Comedy Producer, Best Editing, Best Investigative Documentary, Best New Show, Best Radio Comedy, Best Radio Podcast, Best Radio Programme, Best Single Documentary, Best Sound Art, Best Sound Design
related to Company· 34
Jon Holmes → Agony Uncle, BBC, Bot, C-Word, Cold Case Crime Cuts, Comedy, Cool Skool Sketch Show, Darren Harriott, Death, Fantasy Park, Father Figuring, Fifty Years On, Generation Shame, Holmes, Its, Jeremy Vine, Jon Holmes Says, Lost Voices, Marco Pantani, Mary Bourke
related to Advocacy· 11
Jon Holmes → BBC Radio, C-Word, GenesisCare, His, Holmes, In, Jon Holmes Says, QuizCast, Since, The Big, Through
related to External links· 4
Jon Holmes → Holmes, Holmes Cyberchat, Official, Profile
Born· 1
Jon Holmes → Jonathan Holmes (1969-04-24) 24 April 1969 (age 57) Stratford-upon-Avon, Warwickshire, England, UK
Occupations· 1
Jon Holmes → Writer, producer, broadcaster, comedian
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.
Jon Holmes 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 137 structured relationships around Jon Holmes. Examples in this analysis include Jon Holmes → Born → Jonathan Holmes (1969-04-24) 24 April 1969 (age 57) Stratford-upon-Avon, Warwickshire, England, UK and Jon Holmes → Occupations → Writer, producer, broadcaster, comedian. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Jon Holmes
Born
Jonathan Holmes (1969-04-24) 24 April 1969 (age 57) Stratford-upon-Avon, Warwickshire, England, UK
1.00
infobox
Jon Holmes
Occupations
Writer, producer, broadcaster, comedian
1.00
infobox
Jon Holmes
related to Advocacy
In
0.60
section
Jon Holmes
related to Advocacy
Holmes
0.60
section
Jon Holmes
related to Advocacy
His
0.60
section
Jon Holmes
related to Advocacy
BBC Radio
0.60
section
Jon Holmes
related to Advocacy
Jon Holmes Says
0.60
section
Jon Holmes
related to Advocacy
C-Word
0.60
section
Jon Holmes
related to Advocacy
Since
0.60
section
Jon Holmes
related to Advocacy
Through
0.60
section
Jon Holmes
related to Advocacy
GenesisCare
0.60
section
Jon Holmes
related to Advocacy
The Big
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
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 Jon Holmes bring nearby vocabulary together. In this analysis, examples include Culshaw, Programme and Jon. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Jon Holmes
Culshaw
Programme
Jon
Documentary
Time
Nominated
Following
Including
Awards
Award
Also
Gold
jon holmes
Culshaw
Radio
Bbc
Programme
Show
Jon
Producer
Documentary
Time
Writer
Nominated
Following
bbc radio 4
Radio
Academy
Show
Holmes
4's
Gold
Arias
Programme
Skewer
Award
Series
Awards
the now show
4's
Time
Programme
Awards
Award
Gold
Series
Academy
Skewer
Culshaw
Television
Later
the impressions show with culshaw and stephenson
Jon
Television
Productions
4's
Time
Programme
Awards
Award
Gold
Including
Two
Series
bbc radio
Radio
Academy
Show
Holmes
4's
Gold
Arias
Programme
Skewer
Award
Series
Awards
bbc radio 1
Radio
Academy
Show
Holmes
4's
Gold
Arias
Programme
Skewer
Award
Series
Awards
radio academy awards
Gold
Arias
Won
Award
British
Best
Audio
Comedy
York
New
Skewer
Academy
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 Jon Holmes, one of the stronger structural bridges in this analysis connects Jon Holmes with Radio. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Jon Holmes
Nodes92
Edges91
Triples137
Avg. degree1.98
Density0.021739
Components1
Source & methodology
TTTA analyzes the structure around Jon Holmes to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
