Triple

T32647259
Position Surface form Disambiguated ID Type / Status
Subject Zootopia: Original Motion Picture Soundtrack E834627 entity
Predicate featuresVocalLanguage P47965 FINISHED
Object English 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: English | Statement: [Zootopia: Original Motion Picture Soundtrack, featuresVocalLanguage, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresVocalLanguage
Context triple: [Zootopia: Original Motion Picture Soundtrack, featuresVocalLanguage, English]
  • A. featuresVocal
    Indicates that one entity includes or presents the vocal performance or voice of another entity.
  • B. featuresVocalHarmonyBy
    Indicates that the subject work includes vocal harmony performances contributed by the specified artist or group.
  • 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. featuresVocalChant
    Indicates that the subject includes or contains vocal chanting as a prominent element or component.
  • E. languageOfVocalization chosen
    Indicates the language in which a vocalization (such as speech or singing) is produced.
  • 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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a0120f070b081909b6d1a3d8ee6b80e completed May 11, 2026, 12:21 a.m.
PD Predicate disambiguation batch_6a01209da37481909683e38f264b15ef completed May 11, 2026, 12:19 a.m.
Created at: May 1, 2026, 1:07 a.m.