Graham Jarvis
E161513
Graham Jarvis was a Canadian character actor known for his prolific work in American television and film from the 1960s through the 1990s, often playing quirky or mild-mannered supporting roles.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Graham Jarvis canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1408847 — 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: Graham Jarvis Context triple: [Mary Hartman, Mary Hartman, starring, Graham Jarvis]
-
A.
Nigel Lockyer
Nigel Lockyer is a Canadian physicist known for his leadership in high-energy physics research, including serving as director of Fermilab and previously of TRIUMF.
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B.
Lee Dixon
Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
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C.
Ian Wright
Ian Wright is a New Zealand-born engineer and entrepreneur best known as one of the co-founders of electric vehicle company Tesla, Inc.
-
D.
Ian Wright
Ian Wright is a former English striker renowned for his prolific goal-scoring at Arsenal and as a charismatic football pundit.
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E.
John Pinder
John Pinder was an influential Australian entertainment entrepreneur and producer best known for his pivotal role in developing the country’s live comedy scene and major festivals.
- 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: Graham Jarvis Target entity description: Graham Jarvis was a Canadian character actor known for his prolific work in American television and film from the 1960s through the 1990s, often playing quirky or mild-mannered supporting roles.
-
A.
Nigel Lockyer
Nigel Lockyer is a Canadian physicist known for his leadership in high-energy physics research, including serving as director of Fermilab and previously of TRIUMF.
-
B.
Lee Dixon
Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
-
C.
Ian Wright
Ian Wright is a New Zealand-born engineer and entrepreneur best known as one of the co-founders of electric vehicle company Tesla, Inc.
-
D.
Ian Wright
Ian Wright is a former English striker renowned for his prolific goal-scoring at Arsenal and as a charismatic football pundit.
-
E.
John Pinder
John Pinder was an influential Australian entertainment entrepreneur and producer best known for his pivotal role in developing the country’s live comedy scene and major festivals.
- F. None of above. chosen
Statements (50)
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: Graham Jarvis Description of subject: Graham Jarvis was a Canadian character actor known for his prolific work in American television and film from the 1960s through the 1990s, often playing quirky or mild-mannered supporting roles.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.