James Gammon
E505334
James Gammon was an American character actor known for his gruff voice and rugged roles in films like "Major League" and numerous television series.
All labels observed (1)
| Label | Occurrences |
|---|---|
| James Gammon canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T5246183 — 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: James Gammon Context triple: [I Love You to Death, castMember, James Gammon]
-
A.
Jeff Daniels
Jeff Daniels is an American actor known for his versatile performances in film, television, and theater, with notable roles in works ranging from dramas like "The Newsroom" to comedies like "Dumb and Dumber."
-
B.
Hal Holbrook
Hal Holbrook was an American actor renowned for his Emmy- and Tony-winning career in film, television, and theater, particularly for his acclaimed portrayal of Mark Twain in his long-running one-man show.
-
C.
David Strathairn
David Strathairn is an American character actor known for his nuanced performances in film, television, and theater, including acclaimed roles in works like "Good Night, and Good Luck" and "Nomadland."
-
D.
Charles Durning
Charles Durning was an American character actor known for his prolific film and television career, including acclaimed roles in works like "Dog Day Afternoon," "Tootsie," and "The Best Little Whorehouse in Texas."
-
E.
Robert Joy
Robert Joy is a Canadian actor best known for his character roles in film and television, including his work on the crime drama series CSI: NY.
- 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: James Gammon Target entity description: James Gammon was an American character actor known for his gruff voice and rugged roles in films like "Major League" and numerous television series.
-
A.
Jeff Daniels
Jeff Daniels is an American actor known for his versatile performances in film, television, and theater, with notable roles in works ranging from dramas like "The Newsroom" to comedies like "Dumb and Dumber."
-
B.
Hal Holbrook
Hal Holbrook was an American actor renowned for his Emmy- and Tony-winning career in film, television, and theater, particularly for his acclaimed portrayal of Mark Twain in his long-running one-man show.
-
C.
David Strathairn
David Strathairn is an American character actor known for his nuanced performances in film, television, and theater, including acclaimed roles in works like "Good Night, and Good Luck" and "Nomadland."
-
D.
Charles Durning
Charles Durning was an American character actor known for his prolific film and television career, including acclaimed roles in works like "Dog Day Afternoon," "Tootsie," and "The Best Little Whorehouse in Texas."
-
E.
Robert Joy
Robert Joy is a Canadian actor best known for his character roles in film and television, including his work on the crime drama series CSI: NY.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
film actor
ⓘ
human ⓘ stage actor ⓘ television actor ⓘ |
| causeOfDeath | liver cancer ⓘ |
| characteristic | rugged screen persona ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| dateOfBirth | 1940-04-20 ⓘ |
| dateOfDeath | 2010-07-16 ⓘ |
| familyName | Gammon NERFINISHED ⓘ |
| fieldOfWork |
film
ⓘ
television ⓘ theatre ⓘ |
| genre |
comedy
ⓘ
drama ⓘ western ⓘ |
| givenName | James ⓘ |
| languageOfWorkOrName | English ⓘ |
| name | James Gammon NERFINISHED ⓘ |
| nationality | American ⓘ |
| notableFor | portraying tough, blue-collar characters ⓘ |
| notableWork |
Any Which Way You Can
NERFINISHED
ⓘ
Bagdad Cafe (TV series) NERFINISHED ⓘ Cold Heaven NERFINISHED ⓘ Crossfire Trail NERFINISHED ⓘ Grey's Anatomy NERFINISHED ⓘ Homefront NERFINISHED ⓘ Major League NERFINISHED ⓘ Major League II NERFINISHED ⓘ Nash Bridges NERFINISHED ⓘ Natural Born Killers NERFINISHED ⓘ Silverado NERFINISHED ⓘ The Iron Giant NERFINISHED ⓘ The Milagro Beanfield War NERFINISHED ⓘ The Waltons NERFINISHED ⓘ Urban Cowboy NERFINISHED ⓘ Wyatt Earp NERFINISHED ⓘ |
| numberOfChildren | 2 ⓘ |
| occupation |
actor
ⓘ
character actor ⓘ |
| placeOfBirth | Newman, Illinois, United States of America NERFINISHED ⓘ |
| placeOfDeath | Costa Mesa, California, United States of America NERFINISHED ⓘ |
| portrayed |
Coach Lou Brown in Major League
NERFINISHED
ⓘ
Coach Lou Brown in Major League II NERFINISHED ⓘ |
| residence | California, United States of America NERFINISHED ⓘ |
| sexOrGender | male ⓘ |
| spouse | Nancy Jane Kapusta NERFINISHED ⓘ |
| voiceType | gruff voice ⓘ |
| yearsActive | 1960s–2010 ⓘ |
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: James Gammon Description of subject: James Gammon was an American character actor known for his gruff voice and rugged roles in films like "Major League" and numerous television series.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.