Triple

T13104512
Position Surface form Disambiguated ID Type / Status
Subject Natalie Morales E310808 entity
Predicate workedOn P3 FINISHED
Object Trophy Wife E150913 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: Trophy Wife | Statement: [Natalie Morales, workedOn, Trophy Wife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trophy Wife
Context triple: [Natalie Morales, workedOn, Trophy Wife]
  • A. Trophy Wife chosen
    Trophy Wife is an American television sitcom that follows a former party girl adjusting to life as the third wife in a complicated blended family.
  • B. Meet the Wife
    Meet the Wife is a British television sitcom best known for starring Thora Hird as a domineering, sharp-tongued housewife.
  • C. The Ex-Wife
    The Ex-Wife is a British psychological thriller television series in which Celine Buckens stars as a woman whose seemingly perfect life unravels amid obsession, jealousy, and marital secrets.
  • D. Run for Your Wife
    Run for Your Wife is a popular British stage farce by Ray Cooney about a London taxi driver juggling two wives in different parts of the city.
  • E. My Official Wife
    "My Official Wife" is a silent film drama best known as one of the prominent starring vehicles of early American screen actress Clara Kimball Young.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead8f3a881909a32afc268e3b385 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:05 p.m.