Triple

T6557825
Position Surface form Disambiguated ID Type / Status
Subject Emily Jean Stone E152495 entity
Predicate awardReceived P11 FINISHED
Object 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."
E602467 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Academy Award for Best Actress for Poor Things | Statement: [Emily Jean Stone, awardReceived, Academy Award for Best Actress for Poor Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Actress for Poor Things
Context triple: [Emily Jean Stone, awardReceived, Academy Award for Best Actress for Poor Things]
  • A. Academy Award for Best Actress for The Favourite
    The Academy Award for Best Actress for *The Favourite* is the Oscar-winning performance by Olivia Colman for her acclaimed portrayal of Queen Anne in Yorgos Lanthimos’s 2018 period black comedy-drama film.
  • B. BAFTA Award for Best Actress in a Leading Role
    The BAFTA Award for Best Actress in a Leading Role is a prestigious British film accolade presented annually by the British Academy of Film and Television Arts to honor outstanding performances by leading actresses.
  • C. BAFTA Award for Best Supporting Actress
    The BAFTA Award for Best Supporting Actress is a British Academy Film Award presented annually to honor an outstanding performance by an actress in a supporting role in film.
  • D. Empire Award for Best Actress
    The Empire Award for Best Actress is a British film award presented annually by Empire magazine to honor outstanding leading performances by actresses in cinema.
  • E. BAFTA Award for Best Foreign Actress
    The BAFTA Award for Best Foreign Actress was a British Academy of Film and Television Arts honor given to recognize outstanding performances by non-British actresses in leading film roles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Academy Award for Best Actress for Poor Things
Triple: [Emily Jean Stone, awardReceived, Academy Award for Best Actress for Poor Things]
Generated description
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."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Actress for Poor Things
Target entity description: 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."
  • A. Academy Award for Best Actress for The Favourite
    The Academy Award for Best Actress for *The Favourite* is the Oscar-winning performance by Olivia Colman for her acclaimed portrayal of Queen Anne in Yorgos Lanthimos’s 2018 period black comedy-drama film.
  • B. BAFTA Award for Best Actress in a Leading Role
    The BAFTA Award for Best Actress in a Leading Role is a prestigious British film accolade presented annually by the British Academy of Film and Television Arts to honor outstanding performances by leading actresses.
  • C. BAFTA Award for Best Supporting Actress
    The BAFTA Award for Best Supporting Actress is a British Academy Film Award presented annually to honor an outstanding performance by an actress in a supporting role in film.
  • D. Empire Award for Best Actress
    The Empire Award for Best Actress is a British film award presented annually by Empire magazine to honor outstanding leading performances by actresses in cinema.
  • E. BAFTA Award for Best Foreign Actress
    The BAFTA Award for Best Foreign Actress was a British Academy of Film and Television Arts honor given to recognize outstanding performances by non-British actresses in leading film roles.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8bae88819089cff70fa1101a39 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd417d288190868e9709deb4b28a completed March 27, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce6be1f88190bc8b90bf90c6dc55 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:52 p.m.