Triple

T29998902
Position Surface form Disambiguated ID Type / Status
Subject Lieder by Felix Mendelssohn E762106 entity
Predicate typicalAccompanimentRole P84498 FINISHED
Object supportive piano texture 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: supportive piano texture | Statement: [Lieder by Felix Mendelssohn, typicalAccompanimentRole, supportive piano texture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalAccompanimentRole
Context triple: [Lieder by Felix Mendelssohn, typicalAccompanimentRole, supportive piano texture]
  • A. accompanimentRole chosen
    Indicates the role or function an accompanying entity plays in relation to a primary entity or event.
  • B. accompanimentType
    Indicates the specific manner or style in which one entity accompanies or supports another (e.g., musically, contextually, or functionally).
  • C. traditionalAccompaniment
    Indicates that one entity is customarily or culturally served, used, or presented together with another as its traditional accompaniment.
  • D. typicalRole
    Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
  • E. typicalPerformerRoleType
    Indicates the usual or characteristic role type that a performer commonly plays or is associated with in their performances.
  • 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_69f224695498819094a81037cad401e2 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a032d9200448190a2adcc5ee48bff01 completed May 12, 2026, 1:39 p.m.
PD Predicate disambiguation batch_6a032c9f41f08190b1c60b0afbbac01a completed May 12, 2026, 1:35 p.m.
Created at: April 29, 2026, 6:40 p.m.