Triple

T7355115
Position Surface form Disambiguated ID Type / Status
Subject Passenger 57 E169602 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: [Passenger 57, productionCompany, Davis Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis Entertainment
Context triple: [Passenger 57, 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. J&M Entertainment
    J&M Entertainment is a film production company best known for producing the 1993 drama "What's Eating Gilbert Grape."
  • E. Deluxe Entertainment Services Group
    Deluxe Entertainment Services Group is a global provider of digital and physical post-production, distribution, and media services for the entertainment and film industry.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b69cb4819096815b1fac284840 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.