Triple

T9512169
Position Surface form Disambiguated ID Type / Status
Subject B. D. Hyman E229425 entity
Predicate name P16 FINISHED
Object B. D. Hyman E229425 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: B. D. Hyman | Statement: [B. D. Hyman, name, B. D. Hyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B. D. Hyman
Context triple: [B. D. Hyman, name, B. D. Hyman]
  • A. B. D. Hyman chosen
    B. D. Hyman is an American author and Christian minister best known as the estranged daughter of actress Bette Davis and for her controversial memoir about their relationship.
  • B. Kenneth Hyman
    Kenneth Hyman is a film producer best known for his work on the classic World War II action film "The Dirty Dozen."
  • C. Harold L. Mohr
    Harold L. Mohr, better known as Hal Mohr, was an American cinematographer renowned for his innovative camera work and for being the only write-in Academy Award winner in Oscar history.
  • D. Philip Hauge Abelson
    Philip Hauge Abelson was an American physicist, nuclear scientist, and science administrator known for co-discovering neptunium and for his influential leadership in U.S. scientific research and policy.
  • E. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98699b788190b1a475e1b1883584 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1526d30a481909944110fd6ebd1dd completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:58 p.m.