Clark Duke
E592513
Clark Duke is an American actor, comedian, and filmmaker known for roles in projects like "Hot Tub Time Machine," "The Office," and "Kick-Ass."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Clark Duke canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T6332885 — 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: Clark Duke Context triple: [Superbad, castMember, Clark Duke]
-
A.
Luke Goss
Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
-
B.
David Naughton
David Naughton is an American actor and singer best known for his lead role in the horror-comedy film "An American Werewolf in London" and for his work in 1970s and 1980s film and television.
-
C.
Daniel Henney
Daniel Henney is an American actor and model known for his roles in films and television series such as "Big Hero 6," "Criminal Minds," and "The Wheel of Time."
-
D.
Richard Gant
Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
-
E.
Ben Cahoon
Ben Cahoon is a former Canadian Football League slotback widely regarded as one of the most reliable and productive receivers in Montreal Alouettes history.
- 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: Clark Duke Target entity description: Clark Duke is an American actor, comedian, and filmmaker known for roles in projects like "Hot Tub Time Machine," "The Office," and "Kick-Ass."
-
A.
Luke Goss
Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
-
B.
David Naughton
David Naughton is an American actor and singer best known for his lead role in the horror-comedy film "An American Werewolf in London" and for his work in 1970s and 1980s film and television.
-
C.
Daniel Henney
Daniel Henney is an American actor and model known for his roles in films and television series such as "Big Hero 6," "Criminal Minds," and "The Wheel of Time."
-
D.
Richard Gant
Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
-
E.
Ben Cahoon
Ben Cahoon is a former Canadian Football League slotback widely regarded as one of the most reliable and productive receivers in Montreal Alouettes history.
- F. None of above. chosen
Statements (48)
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: Clark Duke Description of subject: Clark Duke is an American actor, comedian, and filmmaker known for roles in projects like "Hot Tub Time Machine," "The Office," and "Kick-Ass."
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.