Triple

T23362168
Position Surface form Disambiguated ID Type / Status
Subject Wholly Moses! E593211 entity
Predicate productionCompany P490 FINISHED
Object Brut Productions 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: Brut Productions | Statement: [Wholly Moses!, productionCompany, Brut Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brut Productions
Context triple: [Wholly Moses!, productionCompany, Brut Productions]
  • A. Brut Productions chosen
    Brut Productions was a film production company active in the 1970s, known for backing a range of offbeat and genre films.
  • B. Bruise Productions
    Bruise Productions is a film production company known for producing the 2015 drama film "The Shelter."
  • 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. Revue Productions
    Revue Productions was an American television production company active in the mid-20th century, best known for producing numerous popular TV series during the early days of network television.
  • E. Gravier Productions
    Gravier Productions is an American film production company best known for producing many of Woody Allen’s later films, including "Blue Jasmine."
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a8669c819098b88ae6712e3f88 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.