Triple

T4052728
Position Surface form Disambiguated ID Type / Status
Subject Viola Concerto E84620 entity
Predicate usesTexture P53016 FINISHED
Object orchestral textures highlighting soloist 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: orchestral textures highlighting soloist | Statement: [Viola Concerto, usesTexture, orchestral textures highlighting soloist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTexture
Context triple: [Viola Concerto, usesTexture, orchestral textures highlighting soloist]
  • A. texture
    Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
  • B. usesUniform
    Indicates that one entity regularly wears or employs a standardized set of clothing or equipment designated as a uniform.
  • C. typicalTexture
    Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
  • D. usesLightingFor
    Indicates that one entity employs or relies on a particular lighting setup, technology, or condition to achieve a purpose or perform an action.
  • E. openingTexture
    Indicates the characteristic surface quality or feel presented at the beginning phase of an event, process, or work (such as a piece of music, writing, or design).
  • F. None of above. chosen

Provenance (4 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb869c34819097ec3bebe402d37b completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aef9fcb31c819098d5287b6fc84f4e completed March 9, 2026, 4:49 p.m.
Created at: March 9, 2026, 3:37 p.m.