Triple
T12894676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Quintet in E major, Op. 15 |
E308460
|
entity |
| Predicate | hasPianoPart |
P84955
|
FINISHED |
| Object | prominent |
—
|
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: prominent | Statement: [Piano Quintet in E major, Op. 15, hasPianoPart, prominent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPianoPart Context triple: [Piano Quintet in E major, Op. 15, hasPianoPart, prominent]
-
A.
hasPianoAccompaniment
chosen
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
-
B.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
C.
hasPianoSolo
Indicates that something includes, features, or is characterized by a piano solo performance.
-
D.
hasPianoIntroBy
Indicates that something (typically a musical work) features an introductory section played on piano that is performed or created by a specified agent.
-
E.
hasPianist
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.