Triple

T2182114
Position Surface form Disambiguated ID Type / Status
Subject Bernard Hill E49066 entity
Predicate appearedIn P795 FINISHED
Object Shirley Valentine E243212 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: Shirley Valentine | Statement: [Bernard Hill, appearedIn, Shirley Valentine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley Valentine
Context triple: [Bernard Hill, appearedIn, Shirley Valentine]
  • A. Shirley Valentine chosen
    Shirley Valentine is a 1989 British comedy-drama film, based on Willy Russell’s play, about a middle-aged Liverpool housewife who rediscovers herself during a life-changing trip to Greece.
  • B. Dolly Sharp
    Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
  • C. Mary Tuffley
    Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
  • D. Bernice Bourne
    Bernice Bourne is an individual known primarily for being among the notable people interred at Flushing Cemetery in Queens, New York.
  • E. Elizabeth Doll
    Elizabeth Doll was the wife of pioneering German physicist Heinrich Hertz, who first conclusively demonstrated the existence of electromagnetic waves.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef1f8c0819084da6002035bbf93 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653de18481909c3521e060540a38 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.