Triple

T8890616
Position Surface form Disambiguated ID Type / Status
Subject Music For Love E211651 entity
Predicate hasArtisticPurpose P12365 FINISHED
Object expression of love through music 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: expression of love through music | Statement: [Music For Love, hasArtisticPurpose, expression of love through music]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtisticPurpose
Context triple: [Music For Love, hasArtisticPurpose, expression of love through music]
  • A. hasArtisticFocus
    Indicates that an entity’s primary artistic attention, theme, or specialization is directed toward a particular subject, style, or medium.
  • B. hasArtisticGenre
    Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
  • C. artisticIntention chosen
    Indicates that an action or creation is guided by a deliberate artistic purpose, concept, or expressive goal of its creator.
  • D. hasArtisticDiscipline
    Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
  • E. hasArtisticPolicy
    Indicates that an entity maintains or follows a defined set of principles or guidelines governing artistic choices, practices, or direction.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc619188508190aacda410f0b4c98d completed April 1, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:53 p.m.