Triple

T9376407
Position Surface form Disambiguated ID Type / Status
Subject Daydreaming E225655 entity
Predicate hasBackwardVocals P87643 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: [Daydreaming, hasBackwardVocals, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBackwardVocals
Context triple: [Daydreaming, hasBackwardVocals, yes]
  • A. hasBackingVocals
    Indicates that one musical performance, track, or part includes supporting vocal contributions accompanying a primary vocal line.
  • B. hasVocals
    Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
  • C. hasCallAndResponseVocals
    Indicates that one entity produces vocalizations that are followed by corresponding or answering vocalizations from another entity.
  • D. hasVocalPerformanceBy
    Indicates that a vocal performance in a work or recording is performed by a specified person or group.
  • E. hasVocalDuet
    Indicates that two entities perform or participate together in a vocal duet.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50ab658c8190b23b2a97d15bb3f1 completed April 1, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69cc7a6c733881908aa3070830c2100b completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc94b796788190816b71b1e9996288 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 7:44 p.m.