Triple

T20620966
Position Surface form Disambiguated ID Type / Status
Subject The Day After E506695 entity
Predicate productionCompany P490 FINISHED
Object ABC Circle Films NE NERFINISHED

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: ABC Circle Films | Statement: [The Day After, productionCompany, ABC Circle Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC Circle Films
Context triple: [The Day After, productionCompany, ABC Circle Films]
  • A. ABC Circle Films chosen
    ABC Circle Films was a television production company associated with ABC that produced made-for-TV movies and specials.
  • B. Circle Films
    Circle Films was an American independent film distribution company known for releasing influential low-budget and art-house films in the 1980s, including early works by the Coen brothers.
  • C. Gold Circle Films
    Gold Circle Films is an American independent film production company known for producing commercially successful genre and romantic-comedy movies.
  • D. Apache Films
    Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
  • E. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe19ca481908c896bec49a025cd completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.