Triple
T8348819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarinet Sonata |
E196106
|
entity |
| Predicate | musicalLanguage |
P64410
|
FINISHED |
| Object | rich harmonic language |
—
|
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: rich harmonic language | Statement: [Clarinet Sonata, musicalLanguage, rich harmonic language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalLanguage Context triple: [Clarinet Sonata, musicalLanguage, rich harmonic language]
-
A.
languageOfMusic
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
B.
musicalSymbol
Indicates that one entity is a musical notation mark or sign associated with another entity in a musical context.
-
C.
harmonicLanguage
chosen
Indicates a relationship where one entity uses or is characterized by a system of musical harmony or tonal organization associated with another entity.
-
D.
musicalAttribute
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
E.
musicalDirection
Indicates that one entity provides guidance, leadership, or control over the musical aspects or performance of 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8016c4188190a5ff93078e74dc39 |
completed | March 31, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.