Triple

T17815634
Position Surface form Disambiguated ID Type / Status
Subject Love (2015 film) E444830 entity
Predicate productionCompany P490 FINISHED
Object Rectangle 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: Rectangle Productions | Statement: [Love (2015 film), productionCompany, Rectangle Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rectangle Productions
Context triple: [Love (2015 film), productionCompany, Rectangle Productions]
  • A. Rectangle Productions chosen
    Rectangle Productions is a French film production company known for backing auteur-driven and often provocative cinema, including Gaspar Noé’s 2018 film "Climax."
  • 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. Central Productions
    Central Productions is the television production company best known for producing the satirical news program "The Daily Show."
  • D. Central Productions
    Central Productions is a television production company best known for producing the comedic historical series "Drunk History."
  • E. Icon Productions
    Icon Productions is an American film production company co-founded by Mel Gibson, known for producing a range of independent and mainstream films.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887f7d048190b6d813b9f0fab3e7 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.