Triple
T11475874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarinet Concerto in A major |
E272022
|
entity |
| Predicate | characterOfThirdMovement |
P99498
|
FINISHED |
| Object | lively and playful |
—
|
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: lively and playful | Statement: [Clarinet Concerto in A major, characterOfThirdMovement, lively and playful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOfThirdMovement Context triple: [Clarinet Concerto in A major, characterOfThirdMovement, lively and playful]
-
A.
typicalFormOfThirdMovement
Indicates the characteristic or standard structural pattern commonly used for the third movement within a larger multi-movement work.
-
B.
tonalityOfThirdMovement
Indicates the key or tonal center that characterizes the third movement of a musical work.
-
C.
tempoIndicationOfThirdMovement
Indicates the tempo marking that specifies the speed or character of the third movement in a multi-movement work.
-
D.
thirdMovementType
Indicates the specific type or category of the third movement within a larger sequence or structure of movements.
-
E.
timeSignatureThirdMovement
Indicates the time signature used in the third movement of a musical work.
- F. None of above. chosen
Provenance (4 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294c8dc48190a515f83c99405a3b |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:36 p.m.