Craig Berube
E101171
Craig Berube is a former NHL forward and Stanley Cup–winning coach best known for leading the St. Louis Blues to the 2019 championship and later serving as head coach of the Toronto Maple Leafs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Craig Berube canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T706154 — 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: Craig Berube Context triple: [Toronto Maple Leafs, headCoach, Craig Berube]
-
A.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
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B.
Brad Daugherty
Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
-
C.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
D.
Daniel Brière
Daniel Brière is a former NHL center turned ice hockey executive who became the general manager of the Philadelphia Flyers.
-
E.
Ken Anderson
Ken Anderson was an American animator, art director, and story artist best known for his influential work on numerous classic Walt Disney films.
- 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: Craig Berube Target entity description: Craig Berube is a former NHL forward and Stanley Cup–winning coach best known for leading the St. Louis Blues to the 2019 championship and later serving as head coach of the Toronto Maple Leafs.
-
A.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
-
B.
Brad Daugherty
Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
-
C.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
D.
Daniel Brière
Daniel Brière is a former NHL center turned ice hockey executive who became the general manager of the Philadelphia Flyers.
-
E.
Ken Anderson
Ken Anderson was an American animator, art director, and story artist best known for his influential work on numerous classic Walt Disney films.
- F. None of above. chosen
Statements (58)
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: Craig Berube Description of subject: Craig Berube is a former NHL forward and Stanley Cup–winning coach best known for leading the St. Louis Blues to the 2019 championship and later serving as head coach of the Toronto Maple Leafs.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.