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Dev Patel: Career, Early life and background & Overview
Dev Patel (/ˈdɛv pəˈtɛl/ DEV pə-TEL; born 23 April 1990) is a British actor and filmmaker. His accolades include a British Academy Film Award, in addition to nominations for an Academy Award and two Golden Globe Awards. Patel was included in Time's list of the 100 most influential people in the world in 2024.
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Dev Patel topic overview
The analysis highlights Career, Early life and background and Overview as prominent areas in the source structure around Dev Patel.
Related topics
144
Source areas
4
Connected nodes
148
Extracted relationships
66
Related term clusters
48
Bridge connections
148
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.
Career · 81 topics
Overview · 29 topics
Early life and background · 27 topics
Personal life · 7 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.
Awards
Full list
Born
(1990-04-23) 23 April 1990 (age 36) London, England
Notable credits
Slumdog Millionaire (2008) · The Best Exotic Marigold Hotel (2011) · The Second Best Exotic Marigold Hotel (2015) · Lion (2016)
Occupations
Actor · filmmaker
Partners
Freida Pinto (2009–2014) · Tilda Cobham-Hervey (2017–present)
Years active
2006–present
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Dev Patel
3The Best Exotic Marigold Hotel · The Second Best Exotic Marigold Hotel · John Madden (director)
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.
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Advanced semantic analysis
How Dev Patel 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 Dev Patel shows recurring relationship patterns in the source. For example, Dev Patel → Anita Patel, April, At Whitmore High, Beslan, Biology, Bruce Lee, Dev, Drama, GCSE, GCSE Drama, Gujarat, Gujarati, Harrow, Hindu, History, Indian Gujarati, Jamnagar, Kenya, Levels, London Another extracted example is Dev Patel → About Cherry, Berlin International Film Festival, HBO, Heather Graham, Hotel, Indian-English, James Franco, John Madden, Marigold Hotel, Neal Sampat, Patel, Robert Sheehan, The Best Exotic Marigold, The Newsroom, The Road Within, The Second Best Exotic, Variety, Will McAvoy, Zoe Kravitz, Zoë Kravitz. Use these groups to spot repeated connection types before inspecting the individual relationships.
Dev Patel
Top relations
related to background· 35
Dev Patel → Anita Patel, April, At Whitmore High, Beslan, Biology, Bruce Lee, Dev, Drama, GCSE, GCSE Drama, Gujarat, Gujarati, Harrow, Hindu, History, Indian Gujarati, Jamnagar, Kenya, Levels, London
related to 2011–2020: Established actor· 20
Dev Patel → About Cherry, Berlin International Film Festival, HBO, Heather Graham, Hotel, Indian-English, James Franco, John Madden, Marigold Hotel, Neal Sampat, Patel, Robert Sheehan, The Best Exotic Marigold, The Newsroom, The Road Within, The Second Best Exotic, Variety, Will McAvoy, Zoe Kravitz, Zoë Kravitz
Notable credits· 4
Dev Patel → Lion (2016), Slumdog Millionaire (2008), The Best Exotic Marigold Hotel (2011), The Second Best Exotic Marigold Hotel (2015)
Occupations· 2
Dev Patel → Actor, filmmaker
Partners· 2
Dev Patel → Freida Pinto (2009–2014), Tilda Cobham-Hervey (2017–present)
Awards· 1
Dev Patel → Full list
Born· 1
Dev Patel → (1990-04-23) 23 April 1990 (age 36) London, England
Years active· 1
Dev Patel → 2006–present
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.
Dev Patel 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 66 structured relationships around Dev Patel. Examples in this analysis include Dev Patel → Awards → Full list and Dev Patel → Born → (1990-04-23) 23 April 1990 (age 36) London, England. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Dev Patel
Awards
Full list
1.00
infobox
Dev Patel
Born
(1990-04-23) 23 April 1990 (age 36) London, England
1.00
infobox
Dev Patel
Notable credits
Slumdog Millionaire (2008)
1.00
infobox
Dev Patel
Notable credits
The Best Exotic Marigold Hotel (2011)
1.00
infobox
Dev Patel
Notable credits
The Second Best Exotic Marigold Hotel (2015)
1.00
infobox
Dev Patel
Notable credits
Lion (2016)
1.00
infobox
Dev Patel
Occupations
Actor
1.00
infobox
Dev Patel
Occupations
filmmaker
1.00
infobox
Dev Patel
Partners
Freida Pinto (2009–2014)
1.00
infobox
Dev Patel
Partners
Tilda Cobham-Hervey (2017–present)
1.00
infobox
Dev Patel
Years active
2006–present
1.00
infobox
Dev Patel
related to 2011–2020: Established actor
Patel
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 Dev Patel bring nearby vocabulary together. In this analysis, examples include Born, Role and British. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Dev Patel
Born
Role
British
Actor
April
Received
Awards
Lion
Patel
Film
Career
Supporting
british academy film award
Best
Academy
Awards
Bafta
British
Actor
Golden
Patel
Award
Millionaire
Performance
Slumdog
golden raspberry award for worst supporting actor
Award
Supporting
Best
Awards
Bafta
Nomination
British
Golden
Received
Patel
Millionaire
Performance
british independent film award
Best
Academy
Awards
Bafta
Actor
Golden
Patel
Award
British
Millionaire
Performance
Slumdog
outstanding performance by a male actor in a supporting role
Award
Supporting
Best
Awards
Nomination
British
Received
Patel
Bafta
Film
Slumdog
Won
outstanding supporting actor
Award
Supporting
Best
Awards
Nomination
British
Received
Patel
Bafta
Film
Academy
Also
dev patel
Born
Role
Best
British
Actor
April
Received
Awards
Millionaire
Slumdog
Starred
Lion
academy award
Best
Awards
Bafta
British
Golden
Award
Millionaire
Performance
Slumdog
Won
Nomination
Actor
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 Dev Patel, one of the stronger structural bridges in this analysis connects Dev Patel with Career. 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
Dev Patel — Career· splits 67 ⟂ 82Dev Patel — Overview· splits 119 ⟂ 30Dev Patel — Early life and background· splits 121 ⟂ 28Dev Patel — Personal life· splits 141 ⟂ 8
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Dev Patel
Nodes149
Edges148
Triples66
Avg. degree1.99
Density0.013423
Components1
Source & methodology
TTTA analyzes the structure around Dev Patel to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Early life and background & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
