Triple
T22890112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonata III in C major |
E567713
|
entity |
| Predicate | continuoBassInstrumentExamples |
P12878
|
FINISHED |
| Object | cello |
—
|
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: cello | Statement: [Sonata III in C major, continuoBassInstrumentExamples, cello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuoBassInstrumentExamples Context triple: [Sonata III in C major, continuoBassInstrumentExamples, cello]
-
A.
usesBassoContinuo
Indicates that an entity employs or incorporates basso continuo as part of its musical texture or accompaniment.
-
B.
bassStyle
Indicates the characteristic manner or technique in which a bass part is played or written in relation to other musical elements.
-
C.
usesBassGuitar
Indicates that one entity plays or employs a bass guitar in relation to another entity or context.
-
D.
featuresBasslineFrom
Indicates that a musical work incorporates or uses the bassline from another musical work.
-
E.
musicInstrumentation
chosen
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc479d48190a8218eceaebd6cc8 |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:40 p.m.