Triple
T11475856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarinet Concerto in A major |
E272022
|
entity |
| Predicate | openingKeyThirdMovement |
P40266
|
FINISHED |
| Object | A major |
—
|
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: A major | Statement: [Clarinet Concerto in A major, openingKeyThirdMovement, A major]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingKeyThirdMovement Context triple: [Clarinet Concerto in A major, openingKeyThirdMovement, A major]
-
A.
thirdMovementKey
chosen
Indicates the musical key in which the third movement of a multi-movement work is composed or performed.
-
B.
keyOfFifthMovement
Indicates the musical key in which the fifth movement of a work is composed.
-
C.
tonalityOfThirdMovement
Indicates the key or tonal center that characterizes the third movement of a musical work.
-
D.
tempoIndicationOfThirdMovement
Indicates the tempo marking that specifies the speed or character of the third movement in a multi-movement work.
-
E.
timeSignatureThirdMovement
Indicates the time signature used in the third movement of a musical work.
- 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_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. |
Created at: April 8, 2026, 9:36 p.m.