Triple

T17035932
Position Surface form Disambiguated ID Type / Status
Subject Florence E413319 entity
Predicate audioDesign P122748 FINISHED
Object music-driven storytelling 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: music-driven storytelling | Statement: [Florence, audioDesign, music-driven storytelling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audioDesign
Context triple: [Florence, audioDesign, music-driven storytelling]
  • A. soundDesignBy
    Indicates that the sound design for a work (such as a film, game, or performance) is created or supervised by a particular person or entity.
  • B. soundDesignFor
    Indicates that one entity is responsible for creating or shaping the audio or soundscape used in another entity (such as a work, scene, or production).
  • C. soundDesignFocus chosen
    Indicates a relationship where the primary emphasis or attention is placed on the creation, manipulation, or arrangement of sounds within an audio or media context.
  • D. soundEngineering
    Indicates the relationship in which an entity designs, manipulates, or manages audio elements and acoustics for recording, production, or live sound.
  • E. acousticalDesigner
    Indicates a relationship where one entity serves as the acoustical designer responsible for planning or shaping the sound characteristics of another entity (such as a space, product, or performance).
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f26f50819085dfd0fbecd6394d completed April 18, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69e35d5be7f48190af9db67a1e23850f completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.