Triple

T2258290
Position Surface form Disambiguated ID Type / Status
Subject Coffee E49777 entity
Predicate hasVocalRangeType P1151 FINISHED
Object male R&B vocals 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: male R&B vocals | Statement: [Coffee, hasVocalRangeType, male R&B vocals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVocalRangeType
Context triple: [Coffee, hasVocalRangeType, male R&B vocals]
  • A. hasVocalRangeDescription
    Indicates that an entity is associated with a textual description of its vocal range or vocal capabilities.
  • B. vocalRange chosen
    Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
  • C. hasVocals
    Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
  • D. vocalizationMethod
    Indicates the manner or technique by which an entity produces a sound or vocal expression.
  • E. hasVocalPartInMovement
    Indicates that a vocal part is present and participates in a specific movement of a larger musical work.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc15839fc8190b17e040c4c765a8c completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbdb34c148190b51e99f540f97204 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:48 p.m.