Triple

T6828970
Position Surface form Disambiguated ID Type / Status
Subject The Post E157087 entity
Predicate producer P490 FINISHED
Object Amy Pascal E226119 NE FINISHED

How this triple was built (2 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: Amy Pascal | Statement: [The Post, producer, Amy Pascal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Pascal
Context triple: [The Post, producer, Amy Pascal]
  • A. Amy Pascal chosen
    Amy Pascal is an American film producer and former Sony Pictures executive known for overseeing and producing numerous major Hollywood films.
  • B. Nina Jacobson
    Nina Jacobson is an American film and television producer best known as the founder of Color Force and for producing major franchises such as "The Hunger Games."
  • C. Megan Ellison
    Megan Ellison is an American film producer and founder of Annapurna Pictures, known for backing acclaimed independent and auteur-driven films such as "Her," "Zero Dark Thirty," and "American Hustle."
  • D. Martha De Laurentiis
    Martha De Laurentiis was an American film and television producer known for her long-running collaboration with Dino De Laurentiis and for producing adaptations of Thomas Harris’s Hannibal Lecter novels.
  • E. Amanda Silver
    Amanda Silver is an American screenwriter and producer best known for co-writing major blockbuster films such as Jurassic World and the Avatar sequels.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6254bd88190a2a424537c2c12e2 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f73eec81908c666888a19c0b29 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.