Triple

T22102468
Position Surface form Disambiguated ID Type / Status
Subject Joy (2015 film) E546203 entity
Predicate productionCompany P490 FINISHED
Object Davis Entertainment NE NERFINISHED

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: [Joy (2015 film), productionCompany, Davis Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis Entertainment
Context triple: [Joy (2015 film), 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. Applause Entertainment
    Applause Entertainment is an Indian media and entertainment company known for producing and distributing films and television content.
  • D. Woods Entertainment
    Woods Entertainment is a film production company best known for producing the crime drama movie "Cop Land."
  • E. Legend Entertainment
    Legend Entertainment was an American video game developer best known for its story-driven adventure and interactive fiction titles in the 1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.