Triple

T9789825
Position Surface form Disambiguated ID Type / Status
Subject End of Watch E237578 entity
Predicate productionCompany P490 FINISHED
Object Crave Films E199733 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: Crave Films | Statement: [End of Watch, productionCompany, Crave Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crave Films
Context triple: [End of Watch, productionCompany, Crave Films]
  • A. Crave Films chosen
    Crave Films is a film production company known for producing the action thriller movie "Sabotage."
  • B. Freckle Films
    Freckle Films is a film and television production company founded by actress Jessica Chastain, known for developing female-driven and socially conscious projects.
  • C. Katalyst Films
    Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
  • D. Skreba Films
    Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
  • E. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.