Triple

T14412119
Position Surface form Disambiguated ID Type / Status
Subject Felices 140 E357354 entity
Predicate productionCompany P490 FINISHED
Object Tornasol Films E257847 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: Tornasol Films | Statement: [Felices 140, productionCompany, Tornasol Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tornasol Films
Context triple: [Felices 140, productionCompany, Tornasol Films]
  • A. Tornasol Films chosen
    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."
  • B. Valoria Films
    Valoria Films is a film distribution company known for handling the release of various international and independent movies.
  • C. Morfina Films
    Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
  • D. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • E. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc79c088190b6fd2984515976d7 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.