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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.
The analysis highlights Career, Early life and background and Overview as prominent areas in the source structure around Dev Patel.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Dev Patel shows recurring relationship patterns in the source. For example, Dev Patel → Anita Patel, April, As, At Whitmore High, Beslan, Biology, Bruce Lee, Dev, Drama, GCSE, GCSE Drama, Gujarat, Gujarati, Harrow, He, Hindu, His, History, Indian Gujarati, IT Another extracted example is Dev Patel → About Cherry, Berlin International Film Festival, For, From, HBO, He, Heather Graham, Hotel, In, Indian-English, James Franco, John Madden, Marigold Hotel, Neal Sampat, Patel, Robert Sheehan, The, The Best Exotic Marigold, The Newsroom, The Road Within. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
patel film actor role best award awards drama supporting skins hotel received 2024 nomination 2008 dev april series starred british
TTTA extracted 89 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 |
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.
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.
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.
Source: Wikipedia — Dev Patel · EN edition · Analysis: TopicsToTalkAbout