Triple
T9175580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 45 in F-sharp minor, "Farewell" |
E220190
|
entity |
| Predicate | tempoIndicationFourthMovement |
P83722
|
FINISHED |
| Object | Presto – Adagio |
—
|
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: Presto – Adagio | Statement: [Symphony No. 45 in F-sharp minor, "Farewell", tempoIndicationFourthMovement, Presto – Adagio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tempoIndicationFourthMovement Context triple: [Symphony No. 45 in F-sharp minor, "Farewell", tempoIndicationFourthMovement, Presto – Adagio]
-
A.
fourthMovementTempoMarking
chosen
Indicates the specified tempo marking used in the fourth movement of a musical work.
-
B.
tempoIndicationOfThirdMovement
Indicates the tempo marking that specifies the speed or character of the third movement in a multi-movement work.
-
C.
timeSignatureThirdMovement
Indicates the time signature used in the third movement of a musical work.
-
D.
fifthMovementTempoMarking
Indicates the tempo marking specified for the fifth movement of a musical work.
-
E.
fourthMovementTitle
Indicates the title or name given to the fourth movement of a multi-movement 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.