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Stephen Graham Kelly (born 3 August 1973) is an English actor, producer, and screenwriter. He has received nominations for seven British Academy Television Awards (winning one) and one British Academy Film Award. He has also won three Primetime Emmy Awards, one Golden Globe Award and two Actor Awards, among other accolades.
The analysis highlights Career, Early life and education and Personal life as prominent areas in the source structure around Stephen Graham.
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 Stephen Graham shows recurring relationship patterns in the source. For example, Stephen Graham → African, Aged, Andrew Schofield, August, Edinburgh Festival, English, Graham, Graham's, He, His, Jamaican, Jim Hawkins, Kirkby, Lancashire, Liverpool's Everyman Theatre, Overdale Primary School, Ruffwood School, Stephen Graham Kelly, Swedish, The Bronx Breakers Another extracted example is Stephen Graham → Actor, producer, screenwriter. 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.
graham film series also actor walters role british hannah 2019 television awards bbc england 2023 2025 appeared drama producer new
TTTA extracted 33 structured relationships around Stephen Graham. Examples in this analysis include Stephen Graham → Alma mater → Rose Bruford College and Stephen Graham → Born → (1973-08-03) 3 August 1973 (age 53) Kirkby, Lancashire, England. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Stephen Graham | Alma mater | Rose Bruford College | 1.00 | infobox |
| Stephen Graham | Born | (1973-08-03) 3 August 1973 (age 53) Kirkby, Lancashire, England | 1.00 | infobox |
| Stephen Graham | Children | 2 | 1.00 | infobox |
| Stephen Graham | Education | Ruffwood School | 1.00 | infobox |
| Stephen Graham | Occupations | Actor | 1.00 | infobox |
| Stephen Graham | Occupations | producer | 1.00 | infobox |
| Stephen Graham | Occupations | screenwriter | 1.00 | infobox |
| Stephen Graham | Spouse | .mw-parser-output .marriage-line-margin2px{line-height:0;margin-bottom:-2px}.mw-parser-output .marriage-line-margin3px{line-height:0;margin-bottom:-3px}.mw-parser-output .marria… | 1.00 | infobox |
| Stephen Graham | Years active | 1990–present | 1.00 | infobox |
| Stephen Graham | related to Early life and education | Stephen Graham Kelly | 0.60 | section |
| Stephen Graham | related to Early life and education | August | 0.60 | section |
| Stephen Graham | related to Early life and education | Kirkby | 0.60 | section |
The concept neighborhoods around Stephen Graham bring nearby vocabulary together. In this analysis, examples include Walters, Film and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Stephen Graham, one of the stronger structural bridges in this analysis connects Stephen Graham with Overview. 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 Stephen Graham to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Early life and education & Personal life, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Stephen Graham · EN edition · Analysis: TopicsToTalkAbout