Triple

T13702818
Position Surface form Disambiguated ID Type / Status
Subject Escape from L.A. E328561 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: [Escape from L.A., producer, Debra Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debra Hill
Context triple: [Escape from L.A., 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. Debbie Aldridge
    Debbie Aldridge is a fictional character from the long-running BBC Radio 4 soap opera "The Archers."
  • D. Debbie Edwards
    Debbie Edwards is the kidnapped niece whose years-long search drives the emotional core of John Ford’s classic Western film "The Searchers."
  • E. Debralee Scott
    Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06554748190bf76e3383413a3c4 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:54 p.m.