Triple

T14080433
Position Surface form Disambiguated ID Type / Status
Subject Lost Highway E338850 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: [Lost Highway, distributor, October Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: October Films
Context triple: [Lost Highway, 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. September Films
    September Films is a British television and film production company known for creating reality, entertainment, and documentary programming for international audiences.
  • C. ArenaFilm
    ArenaFilm is an Australian film production company known for producing the critically acclaimed drama "Romulus, My Father."
  • D. 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.
  • E. Films 59
    Films 59 is a Spanish film production company best known for producing Luis Buñuel’s acclaimed 1961 drama "Viridiana."
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a175a48190b596ea4cf917e80e completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.