Triple

T5694135
Position Surface form Disambiguated ID Type / Status
Subject Phantom Thread E125494 entity
Predicate producer P490 FINISHED
Object Megan Ellison E318087 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: Megan Ellison | Statement: [Phantom Thread, producer, Megan Ellison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megan Ellison
Context triple: [Phantom Thread, producer, Megan Ellison]
  • A. Megan Ellison chosen
    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."
  • 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. Amy Pascal
    Amy Pascal is an American film producer and former Sony Pictures executive known for overseeing and producing numerous major Hollywood films.
  • D. Celia Zaentz
    Celia Zaentz was an American film producer and the wife of jazz bassist and composer Charles Mingus, known for her work on acclaimed films such as "Amadeus" and "The English Patient."
  • E. Thomas Grazer
    Thomas Grazer is the son of acclaimed American film and television producer Brian Grazer.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a528a348190a7f6fd4cc3b76c92 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.