Triple

T5142612
Position Surface form Disambiguated ID Type / Status
Subject Nick Cassavetes E115993 entity
Predicate directed P7373 FINISHED
Object The Other Woman E498029 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: The Other Woman | Statement: [Nick Cassavetes, directed, The Other Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Other Woman
Context triple: [Nick Cassavetes, directed, The Other Woman]
  • A. The Other Woman chosen
    The Other Woman is a 2014 American comedy film about three women who discover they are all romantically involved with the same man and team up to get revenge.
  • B. The Wife’s Secret
    The Wife’s Secret is a psychological suspense novel by British author Caroline England that explores hidden pasts and buried family secrets.
  • C. The Unsuspecting Wife
    "The Unsuspecting Wife" is a 1945 mystery novel by American author Elisabeth Sanxay Holding, known for its tense psychological suspense and domestic crime plot.
  • D. The Wedding Night
    The Wedding Night is a 1935 romantic drama film directed by King Vidor, starring Gary Cooper and Anna Sten, that explores a troubled marriage and a forbidden love in rural New England.
  • E. Three Women
    Three Women is a 1921 Cubist-inspired painting by Fernand Léger that depicts three stylized female figures in a bold, mechanized, and brightly colored composition emblematic of his “machine aesthetic.”
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed91e4ab88190827a77b0a356b7c3 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:43 p.m.