Triple

T14765500
Position Surface form Disambiguated ID Type / Status
Subject Game Night E346982 entity
Predicate productionCompany P490 FINISHED
Object Davis Entertainment E126659 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: Davis Entertainment | Statement: [Game Night, productionCompany, Davis Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis Entertainment
Context triple: [Game Night, productionCompany, Davis Entertainment]
  • A. Davis Entertainment chosen
    Davis Entertainment is an American film and television production company known for producing a wide range of mainstream Hollywood movies and series across action, adventure, and genre entertainment.
  • B. Smith Entertainment Group
    Smith Entertainment Group is a sports and entertainment company best known for owning the NBA’s Utah Jazz and operating major event venues in Salt Lake City.
  • C. Woods Entertainment
    Woods Entertainment is a film production company best known for producing the crime drama movie "Cop Land."
  • D. Bel Air Entertainment
    Bel Air Entertainment is a film production company known for producing major Hollywood movies in the late 1990s and early 2000s.
  • E. Atomic Entertainment
    Atomic Entertainment is a television production company best known for creating and producing the science-based game show "Brain Games."
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf4cef081909fa62125f43b36bc completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.