Triple

T10261853
Position Surface form Disambiguated ID Type / Status
Subject Sweet Dreams E240616 entity
Predicate hasRAndBInfluence P20936 FINISHED
Object yes 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: yes | Statement: [Sweet Dreams, hasRAndBInfluence, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRAndBInfluence
Context triple: [Sweet Dreams, hasRAndBInfluence, yes]
  • A. hasGenreInfluenceOn
    Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
  • B. hasRetroInfluence
    Indicates that something is influenced by or incorporates stylistic or conceptual elements from an earlier time or past era.
  • C. hasMusicalStyleSimilarTo
    Indicates that two entities share a comparable or closely related musical style or sound.
  • D. influencedByGenre chosen
    Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
  • E. hasRhythmOrigin
    Indicates that one rhythm, style, or rhythmic pattern originates from, is derived from, or has its roots in another source.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b5853081909cd0397e08a0f44d completed April 7, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69d4d1edae6881909a65201b8e51ea0a completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:32 a.m.