Triple

T19386730
Position Surface form Disambiguated ID Type / Status
Subject Women Talking E484955 entity
Predicate director P255 FINISHED
Object Sarah Polley 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: Sarah Polley | Statement: [Women Talking, director, Sarah Polley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Polley
Context triple: [Women Talking, director, Sarah Polley]
  • A. Sarah Polley chosen
    Sarah Polley is a Canadian actress, writer, and filmmaker known for acclaimed works such as "Away from Her," "Stories We Tell," and the Oscar-winning "Women Talking."
  • B. Rebecca Miller
    Rebecca Miller is an American filmmaker, screenwriter, and novelist known for works such as "Personal Velocity" and "The Private Lives of Pippa Lee."
  • C. Courtney Hunt
    Courtney Hunt is an American filmmaker best known for her acclaimed independent drama "Frozen River," which earned multiple award nominations including an Academy Award for Best Original Screenplay.
  • D. Debra Granik
    Debra Granik is an American filmmaker best known for directing the critically acclaimed independent dramas "Winter's Bone" and "Leave No Trace."
  • E. Abi Morgan
    Abi Morgan is a British playwright and screenwriter known for her work on acclaimed films and television dramas such as "The Iron Lady," "Suffragette," and "The Hour."
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.