Triple

T22724481
Position Surface form Disambiguated ID Type / Status
Subject For Life E561952 entity
Predicate executiveProducer P7225 FINISHED
Object Alison Greenspan NE NERFINISHED

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: Alison Greenspan | Statement: [For Life, executiveProducer, Alison Greenspan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison Greenspan
Context triple: [For Life, executiveProducer, Alison Greenspan]
  • A. Alison Greenspan chosen
    Alison Greenspan was an American film and television producer known for her work on character-driven dramas and adaptations, including projects like the 2017 remake of "Beaches."
  • B. Diane Kagan
    Diane Kagan is an American actress known for her supporting role in the 1990 drama film "Mr. and Mrs. Bridge."
  • C. Elaine Goldsmith-Thomas
    Elaine Goldsmith-Thomas is an American film producer and former talent agent known for her long-time collaboration with Jennifer Lopez and work on numerous mainstream Hollywood films.
  • D. Lynn Blumenthal
    Lynn Blumenthal was a film and television editor known for her work on projects such as "The Adventures of Rocky and Bullwinkle."
  • E. Barbara Goldsmith
    Barbara Goldsmith was an American author, journalist, and philanthropist known for her influential works of narrative history and her advocacy for human rights and freedom of expression.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17928a21c8190a1b888754ba7808b completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.