Triple
T17955441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreutzer Sonata |
E448932
|
entity |
| Predicate | hasFirstMovementTempoMarking |
P40356
|
FINISHED |
| Object | Adagio sostenuto – Presto |
—
|
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: Adagio sostenuto – Presto | Statement: [Kreutzer Sonata, hasFirstMovementTempoMarking, Adagio sostenuto – Presto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstMovementTempoMarking Context triple: [Kreutzer Sonata, hasFirstMovementTempoMarking, Adagio sostenuto – Presto]
-
A.
hasTempoMarking
Indicates that a musical passage, piece, or event is associated with a specific tempo indication or marking.
-
B.
firstMovementTempoMarking
chosen
Indicates the tempo marking associated with the first movement of a work or composition.
-
C.
movement3TempoMarking
Indicates the tempo marking associated specifically with the third movement of a musical work.
-
D.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
E.
hasTimeSignatureChange
Indicates that the time signature changes at some point within the duration of the referenced musical segment or piece.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afafe814819085300163f73de5f2 |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.