Triple

T35776208
Position Surface form Disambiguated ID Type / Status
Subject Layover E1034297 entity
Predicate hasVocalHarmonyStyle P70922 FINISHED
Object smooth harmonies 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: smooth harmonies | Statement: [Layover, hasVocalHarmonyStyle, smooth harmonies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVocalHarmonyStyle
Context triple: [Layover, hasVocalHarmonyStyle, smooth harmonies]
  • A. containsVocalHarmonies
    Indicates that the subject includes multiple vocal parts sung together in harmony.
  • B. vocalHarmonyType chosen
    Indicates the specific kind or style of vocal harmony relationship that exists between the involved vocal parts or voices.
  • C. hasHookVocalStyle
    Indicates that an entity (typically a musical work or performance) features a distinctive, catchy vocal delivery or refrain intended to serve as a memorable hook.
  • D. hasAdditionalVocalElements
    Indicates that an entity includes extra vocal components or embellishments beyond its primary or standard vocal parts.
  • E. hasVocals
    Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
  • 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_69f76e14a1e081908eddd57bd6fdb3be completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b5ccbda481908fe1945c35e36ce8 completed May 3, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69f7b4c06f5881908f0b98cad6796478 completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:06 p.m.