Triple

T29853468
Position Surface form Disambiguated ID Type / Status
Subject Morgengruß E758122 entity
Predicate accompanimentTexture P92070 FINISHED
Object lyrical chordal piano writing 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: lyrical chordal piano writing | Statement: [Morgengruß, accompanimentTexture, lyrical chordal piano writing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accompanimentTexture
Context triple: [Morgengruß, accompanimentTexture, lyrical chordal piano writing]
  • A. accompanimentType chosen
    Indicates the specific manner or style in which one entity accompanies or supports another (e.g., musically, contextually, or functionally).
  • B. musicalTexture
    Indicates the type of overall sonic fabric or layering in a piece of music, such as how melodic, harmonic, and rhythmic elements are combined or interwoven.
  • C. primaryInstrumentalTexture
    Indicates the main type of instrumental texture or layering that characterizes how instruments interact in a musical passage or work.
  • D. accompanimentRole
    Indicates the role or function an accompanying entity plays in relation to a primary entity or event.
  • E. originalAccompaniment
    Indicates that one entity serves as the initial or primary accompaniment (such as a side, garnish, or supporting element) to another entity.
  • 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_69f2245a82cc8190a387e7d0118d710b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67649d26481909889228a8ca1af93 completed May 2, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69f66ec5bf508190ad088b89455252bd completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 5:45 p.m.