Triple
T12894684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Quintet in E major, Op. 15 |
E308460
|
entity |
| Predicate | hasMelodicWriting |
P102134
|
FINISHED |
| Object | lyrical |
—
|
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 | Statement: [Piano Quintet in E major, Op. 15, hasMelodicWriting, lyrical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMelodicWriting Context triple: [Piano Quintet in E major, Op. 15, hasMelodicWriting, lyrical]
-
A.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
isMelodic
chosen
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
C.
hasMelodicGuitarWork
Indicates that something features prominent or notable guitar parts characterized by a clear, tuneful, and melodic playing style.
-
D.
hasMelodicOrchestration
Indicates that one entity provides or features the melodic orchestration for, or in association with, another entity.
-
E.
hasMelodicDrop
Indicates that a musical piece or section features a pronounced melodic drop, where the melody shifts dramatically in pitch, intensity, or texture to create a climactic or contrasting moment.
- 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.