Triple

T13729976
Position Surface form Disambiguated ID Type / Status
Subject The Nun (1966 film) E329770 entity
Predicate productionCompany P490 FINISHED
Object Orsay Films E838137 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: Orsay Films | Statement: [The Nun (1966 film), productionCompany, Orsay Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orsay Films
Context triple: [The Nun (1966 film), productionCompany, Orsay Films]
  • A. Orsay Films chosen
    Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
  • B. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • C. Gaumont
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • D. Elzévir Films
    Elzévir Films is a French film production company known for producing independent and auteur-driven cinema.
  • E. Ultramar Films
    Ultramar Films was a Mexican film production company best known for producing Luis Buñuel’s acclaimed 1950 drama "Los Olvidados."
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84c02e08190b8ef620575157c14 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.