Triple

T9970253
Position Surface form Disambiguated ID Type / Status
Subject Take This Waltz E196184 entity
Predicate writer P1360 FINISHED
Object Sarah Polley E268068 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: Sarah Polley | Statement: [Take This Waltz, writer, Sarah Polley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Polley
Context triple: [Take This Waltz, writer, 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. Debra Granik
    Debra Granik is an American filmmaker best known for directing the critically acclaimed independent dramas "Winter's Bone" and "Leave No Trace."
  • D. 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."
  • E. Lisa Cholodenko
    Lisa Cholodenko is an American film and television director and screenwriter known for her character-driven dramas exploring family, sexuality, and identity, including the acclaimed film "The Kids Are All Right."
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c002cc8190becc9730b2c01782 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:48 p.m.