Triple

T10426321
Position Surface form Disambiguated ID Type / Status
Subject Armageddon (1998 film) E245798 entity
Predicate producer P490 FINISHED
Object Gale Anne Hurd E116019 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: Gale Anne Hurd | Statement: [Armageddon (1998 film), producer, Gale Anne Hurd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gale Anne Hurd
Context triple: [Armageddon (1998 film), 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. 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.
  • D. Diane Becker
    Diane Becker is a film producer best known for her work on the Oscar-winning documentary "Navalny," which chronicles Russian opposition leader Alexei Navalny.
  • E. Amanda Silver
    Amanda Silver is an American screenwriter and producer best known for co-writing major blockbuster films such as Jurassic World and the Avatar sequels.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea498ab08190b451c0b257c0711b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2b50b48190b1d5b29d19a240c2 completed April 9, 2026, 7:21 p.m.
Created at: April 6, 2026, 12:12 p.m.