Triple

T2797747
Position Surface form Disambiguated ID Type / Status
Subject St Matthew Passion E53078 entity
Predicate vocalSoloistRole P24740 FINISHED
Object Evangelist (tenor) 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: Evangelist (tenor) | Statement: [St Matthew Passion, vocalSoloistRole, Evangelist (tenor)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vocalSoloistRole
Context triple: [St Matthew Passion, vocalSoloistRole, Evangelist (tenor)]
  • A. musicalRole chosen
    Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
  • B. vocalPerformanceNotedFor
    Indicates that a particular vocal performance is recognized or distinguished for a specific quality, feature, or characteristic.
  • C. vocalRequirement
    Indicates that a particular action, role, or participation involves a specified need or condition related to vocal use, such as speaking or singing.
  • D. primaryVocalist
    Indicates that the subject is the main singer or lead vocal performer for the object (such as a song, track, or musical work).
  • E. featuresVocalist
    Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf204148190a53f3f30d645d94c completed March 7, 2026, 8:12 a.m.
PD Predicate disambiguation batch_69abdd040f9481908e9c7a2df88ea1ae completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.