Triple

T4884901
Position Surface form Disambiguated ID Type / Status
Subject Yellowstone E109414 entity
Predicate productionCompany P490 FINISHED
Object Linson Entertainment E318163 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: Linson Entertainment | Statement: [Yellowstone, productionCompany, Linson Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linson Entertainment
Context triple: [Yellowstone, productionCompany, Linson Entertainment]
  • A. Linson Films chosen
    Linson Films is a film production company founded by producer Art Linson, known for backing notable movies such as "Fight Club."
  • B. Blue Lion Entertainment
    Blue Lion Entertainment is a film and television production company known for developing and producing screen content such as the project "The Insider."
  • C. Parkwood Entertainment
    Parkwood Entertainment is an American entertainment and management company founded by Beyoncé that produces music, films, and other creative projects.
  • D. Chameleon Entertainment
    Chameleon Entertainment is a music record label known for producing and distributing recordings for various artists across genres.
  • E. Largo Entertainment
    Largo Entertainment was an independent American film production company active primarily in the 1990s, known for backing a range of mid-budget studio 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6de3718881908521968fa6e6b444 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680fd1508190bc01caeea8f56f84 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.