Triple
T23914791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Pieces for Orchestra, Op. 10 |
E602050
|
entity |
| Predicate | movementTempoIndicationLanguage |
P83111
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Five Pieces for Orchestra, Op. 10, movementTempoIndicationLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementTempoIndicationLanguage Context triple: [Five Pieces for Orchestra, Op. 10, movementTempoIndicationLanguage, German]
-
A.
languageOfTempoMarkings
chosen
Indicates the language in which the tempo markings of a musical work or score are written.
-
B.
movement3TempoMarking
Indicates the tempo marking associated specifically with the third movement of a musical work.
-
C.
musicalTempo
Indicates the speed or pace at which a piece of music is performed or intended to be performed.
-
D.
hasTempoMarking
Indicates that a musical passage, piece, or event is associated with a specific tempo indication or marking.
-
E.
hasTempoIndicationMovementMenuet
Indicates that a musical movement has a tempo marking specifying it should be played in the style or tempo of a menuet.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce97f694819087215ed9f18b290e |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:39 p.m.