Triple

T6889429
Position Surface form Disambiguated ID Type / Status
Subject The Abyss E159007 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: [The Abyss, producer, Gale Anne Hurd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gale Anne Hurd
Context triple: [The Abyss, 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. 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.
  • C. Abby Mann
    Abby Mann was an American screenwriter and producer best known for his socially conscious dramas, including the Academy Award–winning screenplay for "Judgment at Nuremberg."
  • D. Laura Ziskin
    Laura Ziskin was an American film and television producer best known for her work on the Spider-Man film franchise and for being the first woman to solo-produce the Academy Awards telecast.
  • E. Lee Russell
    Lee Russell was an American photographer known for his work documenting rural life and poverty in the United States as part of the Farm Security Administration project during the Great Depression.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9117c84819093dad7b765337b63 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742e71bcc81908231a861be47b7db completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.