Kevin Pearce
E903499
Kevin Pearce is the son of Academy Award–winning actress Patty Duke.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kevin Pearce canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11049927 — 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: Kevin Pearce Context triple: [Patty Duke, child, Kevin Pearce]
-
A.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
B.
Kyle Ward
Kyle Ward is a screenwriter best known for penning the action film "Machete Kills."
-
C.
Ewan Birney
Ewan Birney is a British computational biologist best known for his leadership in the Human Genome Project and as director of the European Bioinformatics Institute (EMBL-EBI).
-
D.
Shaun Martin
Shaun Martin is a Grammy-winning American keyboardist, composer, and producer best known for his work with the jazz-fusion collective Snarky Puppy and his contributions to contemporary gospel and R&B music.
-
E.
Chris Owen
Chris Owen is an American character actor best known for his roles in films like the American Pie series and various teen comedies of the late 1990s and early 2000s.
- 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: Kevin Pearce Target entity description: Kevin Pearce is the son of Academy Award–winning actress Patty Duke.
-
A.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
B.
Kyle Ward
Kyle Ward is a screenwriter best known for penning the action film "Machete Kills."
-
C.
Ewan Birney
Ewan Birney is a British computational biologist best known for his leadership in the Human Genome Project and as director of the European Bioinformatics Institute (EMBL-EBI).
-
D.
Shaun Martin
Shaun Martin is a Grammy-winning American keyboardist, composer, and producer best known for his work with the jazz-fusion collective Snarky Puppy and his contributions to contemporary gospel and R&B music.
-
E.
Chris Owen
Chris Owen is an American character actor best known for his roles in films like the American Pie series and various teen comedies of the late 1990s and early 2000s.
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
human ⓘ |
| awardReceived | Academy Award NERFINISHED ⓘ |
| child | Kevin Pearce NERFINISHED ⓘ |
| childOf | Patty Duke NERFINISHED ⓘ |
| hasChild | Kevin Pearce NERFINISHED ⓘ |
| hasNationality | American ⓘ |
| mother | Patty Duke NERFINISHED ⓘ |
| occupation | actress ⓘ |
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: Kevin Pearce Description of subject: Kevin Pearce is the son of Academy Award–winning actress Patty Duke.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.