Triple

T10493769
Position Surface form Disambiguated ID Type / Status
Subject Blow Out E247482 entity
Predicate distributor P1951 FINISHED
Object Filmways Pictures 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 Pictures | Statement: [Blow Out, distributor, Filmways Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filmways Pictures
Context triple: [Blow Out, distributor, Filmways Pictures]
  • 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. 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.
  • D. Morfina Films
    Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
  • E. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b0d05a88190be036a6e4ab374a7 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:24 p.m.