Ahna O'Reilly
E833054
Ahna O'Reilly is an American actress known for her supporting roles in films such as "The Help" and the biographical drama "Jobs."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ahna O'Reilly canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T9741698 — 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: Ahna O'Reilly Context triple: [Jobs (2013 film), stars, Ahna O'Reilly]
-
A.
Heather O'Reilly
Heather O'Reilly is a retired American soccer midfielder and three-time Olympic gold medalist known for her long, successful career with the U.S. women's national team and in professional club play.
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B.
Kate Nelligan
Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
-
C.
Heather O’Rourke
Heather O’Rourke was an American child actress best known for her role as Carol Anne Freeling in the "Poltergeist" film series.
-
D.
Rebecca O'Brien
Rebecca O'Brien is a British film producer best known for her long-standing collaboration with director Ken Loach on acclaimed social-realist films.
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E.
Kate Hennessy
Kate Hennessy is an American writer and the granddaughter of Catholic social activist Dorothy Day, known for her memoirs and work chronicling her family’s legacy.
- 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: Ahna O'Reilly Target entity description: Ahna O'Reilly is an American actress known for her supporting roles in films such as "The Help" and the biographical drama "Jobs."
-
A.
Heather O'Reilly
Heather O'Reilly is a retired American soccer midfielder and three-time Olympic gold medalist known for her long, successful career with the U.S. women's national team and in professional club play.
-
B.
Kate Nelligan
Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
-
C.
Heather O’Rourke
Heather O’Rourke was an American child actress best known for her role as Carol Anne Freeling in the "Poltergeist" film series.
-
D.
Rebecca O'Brien
Rebecca O'Brien is a British film producer best known for her long-standing collaboration with director Ken Loach on acclaimed social-realist films.
-
E.
Kate Hennessy
Kate Hennessy is an American writer and the granddaughter of Catholic social activist Dorothy Day, known for her memoirs and work chronicling her family’s legacy.
- F. None of above. chosen
Statements (49)
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: Ahna O'Reilly Description of subject: Ahna O'Reilly is an American actress known for her supporting roles in films such as "The Help" and the biographical drama "Jobs."
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.