Triple

T16674759
Position Surface form Disambiguated ID Type / Status
Subject Dear God E405188 entity
Predicate featuresSpokenOrChildVocal P124214 FINISHED
Object introductory child vocal section 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: introductory child vocal section | Statement: [Dear God, featuresSpokenOrChildVocal, introductory child vocal section]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresSpokenOrChildVocal
Context triple: [Dear God, featuresSpokenOrChildVocal, introductory child vocal section]
  • A. vocalizationCharacteristic
    Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
  • B. featuresVocoder
    Indicates that one entity includes or provides a vocoder as a functional component or feature of another entity.
  • C. featuresVocalPercussion
    Indicates that the subject includes or makes use of vocal percussion (such as beatboxing or mouth-made rhythmic sounds) as part of its content or performance.
  • D. speakerFeatures
    Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
  • E. vocalizationMethod
    Indicates the manner or technique by which an entity produces a sound or vocal expression.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6a1960819098c5e3385693a87a completed April 18, 2026, 12:47 p.m.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326b9e84881909a9166e65bd850d6 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:19 a.m.