Triple

T6362514
Position Surface form Disambiguated ID Type / Status
Subject Secrets & Lies E143144 entity
Predicate distributor P1951 FINISHED
Object October Films E68170 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: October Films | Statement: [Secrets & Lies, distributor, October Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: October Films
Context triple: [Secrets & Lies, distributor, October Films]
  • A. October Films chosen
    October Films was an American independent film distribution company known for releasing critically acclaimed arthouse and foreign films in the 1990s.
  • B. ArenaFilm
    ArenaFilm is an Australian film production company known for producing the critically acclaimed drama "Romulus, My Father."
  • C. Sky Cinema
    Sky Cinema is a group of premium film channels and on-demand movie services operated by Sky in the UK and Ireland, offering a wide range of recent releases and classic films.
  • D. Sixteen Films
    Sixteen Films is a British film production company best known for producing socially and politically engaged films, frequently in collaboration with director Ken Loach.
  • E. USA Films
    USA Films was an American independent film distribution company known for releasing critically acclaimed art-house and specialty films in the late 1990s and early 2000s.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.