Beanie Feldstein
E415675
Beanie Feldstein is an American actress known for her comedic and dramatic roles in films such as "Booksmart" and "Lady Bird," as well as on Broadway.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Beanie Feldstein canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T4035163 — 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.
Target entity: Beanie Feldstein Context triple: [Lady Bird, castMember, Beanie Feldstein]
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A.
Mamoudou Athie
Mamoudou Athie is a Mauritanian-American actor known for his roles in films like "The Front Runner" and "Unicorn Store" and the TV series "Sorry for Your Loss" and "Archive 81."
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B.
Julia Garner
Julia Garner is an American actress best known for her critically acclaimed, Emmy-winning performance as Ruth Langmore in the Netflix crime drama series "Ozark."
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C.
Natasha Lyonne
Natasha Lyonne is an American actress, writer, and director known for her distinctive raspy voice and roles in projects like Russian Doll, the American Pie films, and various acclaimed independent movies.
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D.
Cailee Spaeny
Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
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E.
Zazie Beetz
Zazie Beetz is a German-American actress known for her roles in the TV series "Atlanta" and films such as "Deadpool 2" and "Joker."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Beanie Feldstein Target entity description: Beanie Feldstein is an American actress known for her comedic and dramatic roles in films such as "Booksmart" and "Lady Bird," as well as on Broadway.
-
A.
Mamoudou Athie
Mamoudou Athie is a Mauritanian-American actor known for his roles in films like "The Front Runner" and "Unicorn Store" and the TV series "Sorry for Your Loss" and "Archive 81."
-
B.
Julia Garner
Julia Garner is an American actress best known for her critically acclaimed, Emmy-winning performance as Ruth Langmore in the Netflix crime drama series "Ozark."
-
C.
Natasha Lyonne
Natasha Lyonne is an American actress, writer, and director known for her distinctive raspy voice and roles in projects like Russian Doll, the American Pie films, and various acclaimed independent movies.
-
D.
Cailee Spaeny
Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
-
E.
Zazie Beetz
Zazie Beetz is a German-American actress known for her roles in the TV series "Atlanta" and films such as "Deadpool 2" and "Joker."
- F. None of above. chosen
Statements (47)
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.
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.
Subject: Beanie Feldstein Description of subject: Beanie Feldstein is an American actress known for her comedic and dramatic roles in films such as "Booksmart" and "Lady Bird," as well as on Broadway.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.