Triple

T16875787
Position Surface form Disambiguated ID Type / Status
Subject Les Biches E421294 entity
Predicate distributor P1951 FINISHED
Object Valoria Films E790735 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: Valoria Films | Statement: [Les Biches, distributor, Valoria Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valoria Films
Context triple: [Les Biches, distributor, Valoria Films]
  • A. Valoria Films chosen
    Valoria Films is a film distribution company known for handling the release of various international and independent movies.
  • B. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • C. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • D. Diaphana Films
    Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
  • E. Tornasol Films
    Tornasol Films is a Spanish film production company known for co-producing acclaimed international films, including Ken Loach’s award-winning drama "The Wind That Shakes the Barley."
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.