Triple

T3659004
Position Surface form Disambiguated ID Type / Status
Subject The Fisher King E77603 entity
Predicate producer P490 FINISHED
Object Debra Hill E285696 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: Debra Hill | Statement: [The Fisher King, producer, Debra Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debra Hill
Context triple: [The Fisher King, producer, Debra Hill]
  • A. Debra Hill chosen
    Debra Hill was an American film producer and screenwriter best known for co-writing and producing influential horror films such as "Halloween" alongside John Carpenter.
  • B. Diane Chambers
    Diane Chambers is an intelligent, sophisticated, and often pretentious waitress and love interest of Sam Malone on the classic American sitcom "Cheers."
  • C. Debralee Scott
    Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
  • D. Debra Hayward
    Debra Hayward is a British film producer known for her work on major feature films, including the acclaimed musical adaptation "Les Misérables" (2012).
  • E. Kimberly Williams
    Kimberly Williams is an American actress best known for her breakout role as the bride-to-be in the comedy film "Father of the Bride" (1991) and its sequel.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d48a2081908ac0f76d548a53ee completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48842b28881908c6a077cfaa8b092 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.