Triple
T29207047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Sonata No. 3 in F minor, Op. 5 |
E740438
|
entity |
| Predicate | hasAndanteMovement |
P178802
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Piano Sonata No. 3 in F minor, Op. 5, hasAndanteMovement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAndanteMovement Context triple: [Piano Sonata No. 3 in F minor, Op. 5, hasAndanteMovement, true]
-
A.
hasScherzoMovement
Indicates that a musical work includes a scherzo as one of its movements.
-
B.
hasCadenza
Indicates that a musical work, passage, or performance includes or is associated with a cadenza section.
-
C.
hasScherzo
Indicates that something (typically a musical work or movement) includes or is associated with a scherzo section or component.
-
D.
hasRitornelloForm
Indicates that a musical work or section is structured using ritornello form, featuring recurring thematic passages alternating with contrasting episodes.
-
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. 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 28, 2026, 12:09 p.m.