Triple

T15627008
Position Surface form Disambiguated ID Type / Status
Subject Bad Times at the El Royale E375702 entity
Predicate productionCompany P490 FINISHED
Object God Particle Productions E375702 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: God Particle Productions | Statement: [Bad Times at the El Royale, productionCompany, God Particle Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: God Particle Productions
Context triple: [Bad Times at the El Royale, productionCompany, God Particle Productions]
  • A. God Particle Productions chosen
    God Particle Productions is a film production company known for working on the neo-noir thriller "Bad Times at the El Royale."
  • B. Parti Productions
    Parti Productions is a television production company known for producing the British drama film "The Boy with the Topknot."
  • C. Albert Productions
    Albert Productions is an Australian independent record label and production company best known for discovering and nurturing rock bands such as AC/DC.
  • D. Participant Productions
    Participant Productions is a film production company known for creating socially conscious, issue-driven movies and documentaries.
  • E. Relativity Productions
    Relativity Productions is a film production company known for backing a range of American feature films across genres.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f43191c81908c5704314a002608 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.