Academy Award for Best Actress for "Gravity"
E738829
The Academy Award for Best Actress for "Gravity" is the Oscar nomination recognizing Sandra Bullock’s acclaimed lead performance as an astronaut struggling to survive in Alfonso Cuarón’s 2013 science fiction thriller.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Academy Award for Best Actress for "Gravity" canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8515582 — 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: Academy Award for Best Actress for "Gravity" Context triple: [Sandra Bullock, nominatedFor, Academy Award for Best Actress for "Gravity"]
-
A.
Academy Award for Best Actress for Requiem for a Dream
The Academy Award for Best Actress for Requiem for a Dream is the Oscar nomination recognizing Ellen Burstyn’s acclaimed lead performance in Darren Aronofsky’s 2000 psychological drama film.
-
B.
Academy Award for Best Supporting Actress for Silver Linings Playbook
The Academy Award for Best Supporting Actress for Silver Linings Playbook is the Oscar nomination recognizing an actress’s supporting performance in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
C.
Academy Award for Best Actress for Poor Things
The Academy Award for Best Actress for Poor Things is the Oscar given to Emma Stone for her acclaimed leading performance as Bella Baxter in the 2023 film "Poor Things."
-
D.
Academy Award for Best Actress for The Exorcist
The Academy Award for Best Actress for The Exorcist is the Oscar nomination recognizing Ellen Burstyn's acclaimed leading performance in the 1973 horror film "The Exorcist."
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E.
Academy Award for Best Actress for Resurrection
The Academy Award for Best Actress for Resurrection is the Oscar nomination recognizing Ellen Burstyn’s acclaimed lead performance in the 1980 drama film "Resurrection."
- 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: Academy Award for Best Actress for "Gravity" Target entity description: The Academy Award for Best Actress for "Gravity" is the Oscar nomination recognizing Sandra Bullock’s acclaimed lead performance as an astronaut struggling to survive in Alfonso Cuarón’s 2013 science fiction thriller.
-
A.
Academy Award for Best Actress for Requiem for a Dream
The Academy Award for Best Actress for Requiem for a Dream is the Oscar nomination recognizing Ellen Burstyn’s acclaimed lead performance in Darren Aronofsky’s 2000 psychological drama film.
-
B.
Academy Award for Best Supporting Actress for Silver Linings Playbook
The Academy Award for Best Supporting Actress for Silver Linings Playbook is the Oscar nomination recognizing an actress’s supporting performance in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
C.
Academy Award for Best Actress for Poor Things
The Academy Award for Best Actress for Poor Things is the Oscar given to Emma Stone for her acclaimed leading performance as Bella Baxter in the 2023 film "Poor Things."
-
D.
Academy Award for Best Actress for The Exorcist
The Academy Award for Best Actress for The Exorcist is the Oscar nomination recognizing Ellen Burstyn's acclaimed leading performance in the 1973 horror film "The Exorcist."
-
E.
Academy Award for Best Actress for Resurrection
The Academy Award for Best Actress for Resurrection is the Oscar nomination recognizing Ellen Burstyn’s acclaimed lead performance in the 1980 drama film "Resurrection."
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
Academy Award nomination
ⓘ
film acting award nomination ⓘ |
| associatedWithFilmReleaseYear | 2013 ⓘ |
| awardCategory | Academy Award for Best Actress NERFINISHED ⓘ |
| awardCeremony | 86th Academy Awards NERFINISHED ⓘ |
| awardingBody | Academy of Motion Picture Arts and Sciences NERFINISHED ⓘ |
| characterName | Dr. Ryan Stone NERFINISHED ⓘ |
| countryOfAwardingBody | United States NERFINISHED ⓘ |
| didNotWinAgainst | Cate Blanchett for "Blue Jasmine" ⓘ |
| directorOfWork | Alfonso Cuarón NERFINISHED ⓘ |
| forWork | Gravity NERFINISHED ⓘ |
| genreOfWork | science fiction thriller film ⓘ |
| languageOfWork | English ⓘ |
| nominee | Sandra Bullock NERFINISHED ⓘ |
| partOfAwardsSeason | 2013–2014 film awards season ⓘ |
| performanceType | lead actress ⓘ |
| recognizes |
lead performance by Sandra Bullock
ⓘ
portrayal of Dr. Ryan Stone ⓘ |
| result | nomination ⓘ |
| yearOfCeremony | 2014 ⓘ |
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: Academy Award for Best Actress for "Gravity" Description of subject: The Academy Award for Best Actress for "Gravity" is the Oscar nomination recognizing Sandra Bullock’s acclaimed lead performance as an astronaut struggling to survive in Alfonso Cuarón’s 2013 science fiction thriller.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.