Triple

T29503540
Position Surface form Disambiguated ID Type / Status
Subject Criteria E748448 entity
Predicate hasAssociatedScene P126652 FINISHED
Object Saddle Creek Records scene LITERAL 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: Saddle Creek Records scene | Statement: [Criteria, hasAssociatedScene, Saddle Creek Records scene]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAssociatedScene
Context triple: [Criteria, hasAssociatedScene, Saddle Creek Records scene]
  • A. containsScene
    Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
  • B. isAssociatedWithLabelScene chosen
    Indicates that an entity is connected to or involved with a particular labeled scene or scene annotation.
  • C. hasInfluenceFromScene
    Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
  • D. associatedWithKeyScene
    Indicates that something is linked or connected to a specific key scene, typically as a relevant element, feature, or reference.
  • E. hasStagedSceneAs
    Indicates that one entity has arranged, directed, or presented another entity in a particular scene or setting, typically for performance, display, or representation.
  • 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_69f0bd455a9c8190b40a3e8ea38cf61f completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 28, 2026, 4:26 p.m.