Tom Tully
E500624
Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tom Tully canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T5043391 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Tully Context triple: [Arrow in the Dust, starring, Tom Tully]
-
A.
Terry Talbot
Terry Talbot is an American Christian musician and songwriter, known as a pioneering figure in contemporary Christian music and for his work both solo and with his brother John Michael Talbot.
-
B.
Dean Tolson
Dean Tolson is a former American professional basketball player best known for his college career at the University of Arkansas and his time as a forward in the NBA during the 1970s.
-
C.
Tony Wendice
Tony Wendice is the calculating, villainous husband in Alfred Hitchcock’s thriller "Dial M for Murder," who meticulously plots his wife's murder for financial gain.
-
D.
Tom Kirdahy
Tom Kirdahy is an American Tony Award–winning theater producer and former public interest lawyer, known for his work on major Broadway productions and for being the widower of playwright Terrence McNally.
-
E.
Tom Henighan
Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Tully Target entity description: Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
-
A.
Terry Talbot
Terry Talbot is an American Christian musician and songwriter, known as a pioneering figure in contemporary Christian music and for his work both solo and with his brother John Michael Talbot.
-
B.
Dean Tolson
Dean Tolson is a former American professional basketball player best known for his college career at the University of Arkansas and his time as a forward in the NBA during the 1970s.
-
C.
Tony Wendice
Tony Wendice is the calculating, villainous husband in Alfred Hitchcock’s thriller "Dial M for Murder," who meticulously plots his wife's murder for financial gain.
-
D.
Tom Kirdahy
Tom Kirdahy is an American Tony Award–winning theater producer and former public interest lawyer, known for his work on major Broadway productions and for being the widower of playwright Terrence McNally.
-
E.
Tom Henighan
Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
character actor
ⓘ
film actor ⓘ human ⓘ television actor ⓘ |
| artisticRole |
authority figure characters
ⓘ
supporting roles ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| ethnicGroup | American ⓘ |
| genre |
crime film
ⓘ
drama ⓘ war film ⓘ |
| languageOfWorkOrName | English ⓘ |
| mediumOfPerformance |
film
ⓘ
television ⓘ |
| notability | American character actor of mid-20th century ⓘ |
| notableFor |
portraying gruff but sympathetic authority figures
ⓘ
prolific work in mid-20th-century film ⓘ prolific work in mid-20th-century television ⓘ |
| occupation |
actor
ⓘ
film actor ⓘ television actor ⓘ |
| residence | United States of America ⓘ |
| sexOrGender | male ⓘ |
| workPeriod | mid-20th century ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Tom Tully Description of subject: Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.