Triple

T9036658
Position Surface form Disambiguated ID Type / Status
Subject Bernstein Symphony No. 1 E216511 entity
Predicate usesChorus P1369 FINISHED
Object no 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: no | Statement: [Bernstein Symphony No. 1, usesChorus, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesChorus
Context triple: [Bernstein Symphony No. 1, usesChorus, no]
  • A. hasChorus chosen
    Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
  • B. hasChorusIn
    Indicates that a musical work includes a chorus section within the specified part or segment.
  • C. hasChorusBy
    Indicates that something (typically a musical work or song) includes a chorus section that is performed, written, or provided by a specified entity.
  • D. hasChorusStyle
    Indicates that an entity is associated with a particular style or manner in which a chorus is performed or structured.
  • E. hasChorusHook
    Indicates that a musical work features a prominent, recurring chorus section that serves as a memorable hook.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6ac0b00c8190a7250b86bb7cc276 completed April 1, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69cc5ee3597c81908919cf866ae95c24 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:08 p.m.