Triple

T22640764
Position Surface form Disambiguated ID Type / Status
Subject Liza Snyder E558817 entity
Predicate playedCharacter P1507 FINISHED
Object Christine Hughes 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: Christine Hughes | Statement: [Liza Snyder, playedCharacter, Christine Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Hughes
Context triple: [Liza Snyder, playedCharacter, Christine Hughes]
  • A. Christine Hughes chosen
    Christine Hughes is a central character on the American sitcom "Yes, Dear," portrayed as a practical, often exasperated wife and mother navigating family life and the antics of her extended relatives.
  • B. Christine Hughes
    Christine Hughes is an individual known primarily in relation to Kim Warner, about whom no widely documented public information is available.
  • C. Christine Wiley
    Christine Wiley is known as the mother of American actress Samira Wiley.
  • D. Christine Taylor
    Christine Taylor is an American actress and comedian known for roles in films like "The Brady Bunch Movie," "Zoolander," and "Dodgeball."
  • E. Christine Gossett
    Christine Gossett was the wife of American character actor Leon Ames, known primarily in relation to his long marriage and family life.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170116fe881908178cffef26e3ae7 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.