Jennifer Garner
E36244
Jennifer Garner is an American actress known for her starring role in the television series "Alias" and for her performances in films such as "13 Going on 30" and "Dallas Buyers Club."
All labels observed (3)
| Label | Occurrences |
|---|---|
| Jennifer Garner canonical | 86 |
| 2003 – Jennifer Garner | 1 |
| Jennifer Anne Garner | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T275200 — 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: Jennifer Garner Context triple: [Garner, hasNotableBearer, Jennifer Garner]
-
A.
Jennifer Connelly
Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
-
B.
Katie Holmes
Katie Holmes is an American actress best known for her role as Joey Potter on the television series "Dawson's Creek" and for her work in film and theater.
-
C.
Shannon Elizabeth
Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
-
D.
Jennifer Ehle
Jennifer Ehle is an award-winning English-American actress known for her acclaimed performances in film, television, and theatre, including her BAFTA-winning role as Elizabeth Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
E.
Emily Blunt
Emily Blunt is a British actress known for her versatile performances in films such as "The Devil Wears Prada," "Edge of Tomorrow," "A Quiet Place," and "Mary Poppins Returns."
- 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: Jennifer Garner Target entity description: Jennifer Garner is an American actress known for her starring role in the television series "Alias" and for her performances in films such as "13 Going on 30" and "Dallas Buyers Club."
-
A.
Jennifer Connelly
Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
-
B.
Katie Holmes
Katie Holmes is an American actress best known for her role as Joey Potter on the television series "Dawson's Creek" and for her work in film and theater.
-
C.
Shannon Elizabeth
Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
-
D.
Jennifer Ehle
Jennifer Ehle is an award-winning English-American actress known for her acclaimed performances in film, television, and theatre, including her BAFTA-winning role as Elizabeth Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
E.
Emily Blunt
Emily Blunt is a British actress known for her versatile performances in films such as "The Devil Wears Prada," "Edge of Tomorrow," "A Quiet Place," and "Mary Poppins Returns."
- 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: Jennifer Garner Description of subject: Jennifer Garner is an American actress known for her starring role in the television series "Alias" and for her performances in films such as "13 Going on 30" and "Dallas Buyers Club."
Referenced by (88)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Jennifer Garner
subject linked to:
romantic comedy film 13 Going on 30
subject linked to:
romantic comedy film 13 Going on 30
subject linked to:
Samuel Affleck
subject linked to:
Samuel Affleck
subject linked to:
ACFC