Nathan Fillion
E79526
Nathan Fillion is a Canadian-American actor best known for his leading roles in the television series "Firefly" and "Castle," as well as numerous voice acting performances in animation and video games.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nathan Fillion canonical | 21 |
How this entity was disambiguated
This entity first appeared as the object of triple T614963 — 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.
Target entity: Nathan Fillion Context triple: [Monsters University, voiceCastMember, Nathan Fillion]
-
A.
Kris Marshall
Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
-
B.
Peter Macon
Peter Macon is an American actor best known for playing the Moclan officer Lt. Cmdr. Bortus on the science fiction comedy-drama series "The Orville."
-
C.
Donald Faison
Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
-
D.
Matthew Fox
Matthew Fox is an American actor best known for his leading role as Jack Shephard on the television series "Lost" and for appearances in films such as "Smokin' Aces."
-
E.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Nathan Fillion Target entity description: Nathan Fillion is a Canadian-American actor best known for his leading roles in the television series "Firefly" and "Castle," as well as numerous voice acting performances in animation and video games.
-
A.
Kris Marshall
Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
-
B.
Peter Macon
Peter Macon is an American actor best known for playing the Moclan officer Lt. Cmdr. Bortus on the science fiction comedy-drama series "The Orville."
-
C.
Donald Faison
Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
-
D.
Matthew Fox
Matthew Fox is an American actor best known for his leading role as Jack Shephard on the television series "Lost" and for appearances in films such as "Smokin' Aces."
-
E.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
- F. None of above. chosen
Statements (49)
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.
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.
Subject: Nathan Fillion Description of subject: Nathan Fillion is a Canadian-American actor best known for his leading roles in the television series "Firefly" and "Castle," as well as numerous voice acting performances in animation and video games.
Referenced by (21)
Full triples — surface form annotated when it differs from this entity's canonical label.