Triple

T10354879
Position Surface form Disambiguated ID Type / Status
Subject Days of Wine and Roses E243975 entity
Predicate productionCompany P490 FINISHED
Object Filmways E500271 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: Filmways | Statement: [Days of Wine and Roses, productionCompany, Filmways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filmways
Context triple: [Days of Wine and Roses, productionCompany, Filmways]
  • A. Filmways chosen
    Filmways was an American television and film production company best known for creating and producing popular mid-20th-century TV series and movies.
  • B. 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."
  • C. Elzévir Films
    Elzévir Films is a French film production company known for producing independent and auteur-driven cinema.
  • D. Argos Films
    Argos Films is a French film production company known for producing influential art-house and auteur cinema.
  • E. Época Films
    Época Films was a Spanish film production company known for backing notable mid-20th-century Spanish and European cinema, including works by acclaimed directors such as Luis Buñuel.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.