Triple

T13071443
Position Surface form Disambiguated ID Type / Status
Subject Guy and Madeline on a Park Bench E329463 entity
Predicate hasProductionCompany P14415 FINISHED
Object Variance Films E1020486 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: Variance Films | Statement: [Guy and Madeline on a Park Bench, hasProductionCompany, Variance Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Variance Films
Context triple: [Guy and Madeline on a Park Bench, hasProductionCompany, Variance Films]
  • A. Variance Films chosen
    Variance Films is an independent film distribution company known for releasing arthouse and niche feature films.
  • B. Valoria Films
    Valoria Films is a film distribution company known for handling the release of various international and independent movies.
  • C. 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."
  • D. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27058dc8190a64e1a929f296619 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9 p.m.