Triple

T18139984
Position Surface form Disambiguated ID Type / Status
Subject Samba E434234 entity
Predicate productionCompany P490 FINISHED
Object Quad 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: Quad Productions | Statement: [Samba, productionCompany, Quad Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quad Productions
Context triple: [Samba, productionCompany, Quad Productions]
  • A. Quad Productions chosen
    Quad Productions is a French film and advertising production company known for creating high-profile commercials and feature films.
  • B. Forge Productions
    Forge Productions is a film production company best known for its involvement in the big-budget 1995 pirate adventure movie "Cutthroat Island."
  • C. Rectangle Productions
    Rectangle Productions is a French film production company known for backing auteur-driven and often provocative cinema, including Gaspar Noé’s 2018 film "Climax."
  • D. Apparatus Productions
    Apparatus Productions is a film production company known for working on period dramas such as "The Young Victoria."
  • E. Rastar Productions
    Rastar Productions was an American film and television production company best known for producing popular Hollywood movies and TV projects from the 1960s through the 1980s.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.