James Van Der Beek
E322076
James Van Der Beek is an American actor best known for his starring role as Dawson Leery on the teen drama series "Dawson's Creek."
All labels observed (2)
| Label | Occurrences |
|---|---|
| James Van Der Beek canonical | 6 |
| Joshua Van Der Beek | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3068098 — 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: James Van Der Beek Context triple: [Pose, leadActor, James Van Der Beek]
-
A.
Tyler Labine
Tyler Labine is a Canadian actor and comedian known for his roles in television series like "Reaper" and "Deadbeat" and films such as "Tucker & Dale vs. Evil."
-
B.
Joshua Jackson
Joshua Jackson is a Canadian actor best known for his roles in the television series "Dawson's Creek," "Fringe," and "The Affair."
-
C.
Chris O'Donnell
Chris O'Donnell is an American actor best known for his film roles in the 1990s and for starring as Special Agent G. Callen on the television series NCIS: Los Angeles.
-
D.
Wes Bentley
Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
-
E.
Alexis Denisof
Alexis Denisof is an American actor best known for his role as Wesley Wyndam-Pryce in the television series "Buffy the Vampire Slayer" and its spin-off "Angel."
- 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: James Van Der Beek Target entity description: James Van Der Beek is an American actor best known for his starring role as Dawson Leery on the teen drama series "Dawson's Creek."
-
A.
Tyler Labine
Tyler Labine is a Canadian actor and comedian known for his roles in television series like "Reaper" and "Deadbeat" and films such as "Tucker & Dale vs. Evil."
-
B.
Joshua Jackson
Joshua Jackson is a Canadian actor best known for his roles in the television series "Dawson's Creek," "Fringe," and "The Affair."
-
C.
Chris O'Donnell
Chris O'Donnell is an American actor best known for his film roles in the 1990s and for starring as Special Agent G. Callen on the television series NCIS: Los Angeles.
-
D.
Wes Bentley
Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
-
E.
Alexis Denisof
Alexis Denisof is an American actor best known for his role as Wesley Wyndam-Pryce in the television series "Buffy the Vampire Slayer" and its spin-off "Angel."
- F. None of above. chosen
Statements (43)
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: James Van Der Beek Description of subject: James Van Der Beek is an American actor best known for his starring role as Dawson Leery on the teen drama series "Dawson's Creek."
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.