Triple

T10811188
Position Surface form Disambiguated ID Type / Status
Subject White Christmas E255101 entity
Predicate featuresCharacter P626 FINISHED
Object Judy Haynes E933356 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: Judy Haynes | Statement: [White Christmas, featuresCharacter, Judy Haynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judy Haynes
Context triple: [White Christmas, featuresCharacter, Judy Haynes]
  • A. Judy Haynes chosen
    Judy Haynes is one of the singing Haynes sisters and a central romantic lead in the classic 1954 musical film "White Christmas."
  • B. Linda Haynes
    Linda Haynes was an American film and television actress best known for her roles in 1970s crime and exploitation films, including notable performances in movies like Rolling Thunder and Coffy.
  • C. Judy Nye
    Judy Nye is known primarily for being the first wife of American media mogul and CNN founder Ted Turner.
  • D. Judy Loe
    Judy Loe is an English actress known for her work in British television and theatre and as the mother of actress Kate Beckinsale.
  • E. Judy Hofflund
    Judy Hofflund is a film producer known for her work on major studio projects, including the 2022 adaptation of "Death on the Nile."
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc30d72588190a1ebab7477c9e668 completed May 6, 2026, 10:39 p.m.
Created at: April 8, 2026, 9:18 p.m.