Don McKellar
E268069
Don McKellar is a Canadian actor, writer, and director known for his work on films such as "Last Night" and "The Red Violin," as well as his contributions to Canadian independent cinema and television.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Don McKellar canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2459714 — 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: Don McKellar Context triple: [Canadian Film Centre, notableAlumniIncludes, Don McKellar]
-
A.
Stephen McHattie
Stephen McHattie is a Canadian actor known for his intense character roles in film and television, including his appearance in the superhero film "Watchmen."
-
B.
Matt Johnston
Matt Johnston is a software developer best known as the creator and maintainer of the lightweight Dropbear SSH server and client suite.
-
C.
Jason Beattie
Jason Beattie is a music video director known for his work on the video for the song "Adorn."
-
D.
Andrew Millar
Andrew Millar was an 18th-century Scottish-born London bookseller and publisher known for issuing major works of Enlightenment authors, including David Hume.
-
E.
Rich Harris
Rich Harris is a software engineer and journalist best known for creating the Svelte JavaScript framework and his work on interactive data visualizations.
- 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: Don McKellar Target entity description: Don McKellar is a Canadian actor, writer, and director known for his work on films such as "Last Night" and "The Red Violin," as well as his contributions to Canadian independent cinema and television.
-
A.
Stephen McHattie
Stephen McHattie is a Canadian actor known for his intense character roles in film and television, including his appearance in the superhero film "Watchmen."
-
B.
Matt Johnston
Matt Johnston is a software developer best known as the creator and maintainer of the lightweight Dropbear SSH server and client suite.
-
C.
Jason Beattie
Jason Beattie is a music video director known for his work on the video for the song "Adorn."
-
D.
Andrew Millar
Andrew Millar was an 18th-century Scottish-born London bookseller and publisher known for issuing major works of Enlightenment authors, including David Hume.
-
E.
Rich Harris
Rich Harris is a software engineer and journalist best known for creating the Svelte JavaScript framework and his work on interactive data visualizations.
- F. None of above. chosen
Statements (54)
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: Don McKellar Description of subject: Don McKellar is a Canadian actor, writer, and director known for his work on films such as "Last Night" and "The Red Violin," as well as his contributions to Canadian independent cinema and television.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Crimes of the Future (2022 film)