Clem Bevans
E340166
Clem Bevans was an American character actor best known for his many film and television roles as crusty old-timers and rural eccentrics during the 1930s–1950s.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Clem Bevans canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3197158 — 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: Clem Bevans Context triple: [Saboteur, castMember, Clem Bevans]
-
A.
Clem Haskins
Clem Haskins is an American former professional basketball player and college coach best known for his standout career at Western Kentucky, his NBA tenure in the late 1960s and 1970s, and his successful run as head coach of the University of Minnesota men's basketball team.
-
B.
Elam Ferguson
Elam Ferguson is a formerly enslaved man who becomes a central figure in the post–Civil War frontier drama of the TV series "Hell on Wheels," navigating racial tensions, violence, and his search for identity and justice.
-
C.
Cal Henderson
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
-
D.
Roy McFarland
Roy McFarland is a former English central defender best known for his key role in Derby County’s successful teams of the late 1960s and 1970s and for earning numerous caps for the England national team.
-
E.
Earle Kingston
Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
- 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: Clem Bevans Target entity description: Clem Bevans was an American character actor best known for his many film and television roles as crusty old-timers and rural eccentrics during the 1930s–1950s.
-
A.
Clem Haskins
Clem Haskins is an American former professional basketball player and college coach best known for his standout career at Western Kentucky, his NBA tenure in the late 1960s and 1970s, and his successful run as head coach of the University of Minnesota men's basketball team.
-
B.
Elam Ferguson
Elam Ferguson is a formerly enslaved man who becomes a central figure in the post–Civil War frontier drama of the TV series "Hell on Wheels," navigating racial tensions, violence, and his search for identity and justice.
-
C.
Cal Henderson
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
-
D.
Roy McFarland
Roy McFarland is a former English central defender best known for his key role in Derby County’s successful teams of the late 1960s and 1970s and for earning numerous caps for the England national team.
-
E.
Earle Kingston
Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
character actor
ⓘ
film actor ⓘ human ⓘ stage actor ⓘ television actor ⓘ |
| activeInPeriod |
1930s
ⓘ
1940s ⓘ 1950s ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| familyName | Bevans ⓘ |
| genre |
comedy
ⓘ
drama ⓘ |
| givenName | Clem ⓘ |
| industry |
Hollywood
ⓘ
surface form:
Hollywood film industry
|
| languageOfWorkOrName | English ⓘ |
| mediumOfPerformance |
film
ⓘ
television ⓘ theatre ⓘ |
| name | Clem Bevans self-link ⓘ |
| nationality | American ⓘ |
| notableFor |
portraying crusty old-timers
ⓘ
portraying rural eccentrics ⓘ |
| notableWorkCharacteristic |
elderly characters
ⓘ
rural American settings ⓘ |
| occupation |
actor
ⓘ
character actor ⓘ |
| sexOrGender | male ⓘ |
| typeOfRole |
character roles
ⓘ
supporting roles ⓘ |
| workPeriod | 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: Clem Bevans Description of subject: Clem Bevans was an American character actor best known for his many film and television roles as crusty old-timers and rural eccentrics during the 1930s–1950s.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.