Triple

T35189764
Position Surface form Disambiguated ID Type / Status
Subject Fast Color E1016087 entity
Predicate televisionAdaptationProducedBy P99086 FINISHED
Object LD Entertainment 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: LD Entertainment | Statement: [Fast Color, televisionAdaptationProducedBy, LD Entertainment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: televisionAdaptationProducedBy
Context triple: [Fast Color, televisionAdaptationProducedBy, LD Entertainment]
  • A. televisionProducedBy chosen
    Indicates that a television program, series, or broadcast is created, financed, or overseen by a particular producer, production company, or organization.
  • B. coCreatedTelevisionAdaptationOf
    Indicates that two or more entities jointly participated in creating a television adaptation of a work.
  • C. createdForTelevisionBy
    Indicates that a television program or content was produced or developed under the creative responsibility or authorship of a specified person or organization.
  • D. hasTelevisionAdaptationBroadcaster
    Indicates that the broadcaster specified is responsible for airing the television adaptation of the subject work or entity.
  • E. televisionAdaptationStar
    Indicates that a person is a starring actor in a television adaptation of a work.
  • F. None of above.

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_69f76ddd815c8190b822eea06630f9fb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79533b88c8190934ec4cb21770e24 completed May 3, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69f79104f5b48190a496cdffde8472da completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:02 p.m.