Triple

T18009455
Position Surface form Disambiguated ID Type / Status
Subject T2 E430838 entity
Predicate producer P490 FINISHED
Object Gale Anne Hurd NE NERFINISHED

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: Gale Anne Hurd | Statement: [T2, producer, Gale Anne Hurd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gale Anne Hurd
Context triple: [T2, producer, Gale Anne Hurd]
  • A. Gale Anne Hurd chosen
    Gale Anne Hurd is an American film and television producer best known for her influential work on science fiction and action franchises such as The Terminator and Aliens.
  • B. Callie Khouri
    Callie Khouri is an American screenwriter and director best known for her Oscar-winning feminist road movie "Thelma & Louise."
  • C. Susan Seidelman
    Susan Seidelman is an American film and television director known for her stylish, offbeat comedies and for helping bring independent, female-driven stories into the mainstream in the 1980s.
  • D. Nancy Loomis
    Nancy Loomis is an American actress best known for her roles in John Carpenter’s horror films, including "Halloween" and "Assault on Precinct 13."
  • E. Julie Corman
    Julie Corman is an American film producer known for her work on low-budget genre films and for collaborating on numerous projects associated with the New World Pictures legacy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51e13788190bebbbdd7340e0982 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.