Triple
T8520329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Sonata No. 3 in F minor, Op. 5 |
E201678
|
entity |
| Predicate | fourthMovementTempoMarking |
P83722
|
FINISHED |
| Object | Intermezzo: Andante molto |
—
|
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: Intermezzo: Andante molto | Statement: [Piano Sonata No. 3 in F minor, Op. 5, fourthMovementTempoMarking, Intermezzo: Andante molto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthMovementTempoMarking Context triple: [Piano Sonata No. 3 in F minor, Op. 5, fourthMovementTempoMarking, Intermezzo: Andante molto]
-
A.
fifthMovementTempoMarking
Indicates the tempo marking specified for the fifth movement of a musical work.
-
B.
firstMovementTempoMarking
Indicates the tempo marking associated with the first movement of a work or composition.
-
C.
hasTempoMarking
Indicates that a musical passage, piece, or event is associated with a specific tempo indication or marking.
-
D.
tempoMarkingSecondMovement
Indicates the tempo marking that applies specifically to the second movement of a musical work.
-
E.
languageOfTempoMarkings
Indicates the language in which the tempo markings of a musical work or score are written.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:16 p.m.