Triple

T9789360
Position Surface form Disambiguated ID Type / Status
Subject Young Guns E237567 entity
Predicate productionCompany P490 FINISHED
Object Morgan Creek Productions E392235 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: Morgan Creek Productions | Statement: [Young Guns, productionCompany, Morgan Creek Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Creek Productions
Context triple: [Young Guns, productionCompany, Morgan Creek Productions]
  • A. Morgan Creek Productions chosen
    Morgan Creek Productions is an American film production company known for backing a range of popular movies across genres, including notable crime and thriller titles.
  • B. Myriad Pictures
    Myriad Pictures is an independent film production and distribution company known for handling a range of arthouse and specialty films.
  • C. MadRiver Pictures
    MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
  • D. Cross Creek Pictures
    Cross Creek Pictures is an American film production company known for financing and producing critically acclaimed movies such as "Black Swan."
  • E. Lion's Gate Films
    Lion's Gate Films is an American independent film production and distribution company known for releasing a wide range of arthouse and genre 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_69ca84da927881909bda80caecad6010 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, 8:27 p.m.