Triple
T23581370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonata No. 12 in G major, Op. 2 |
E582212
|
entity |
| Predicate | hasViolinParts |
P72278
|
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: [Sonata No. 12 in G major, Op. 2, hasViolinParts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViolinParts Context triple: [Sonata No. 12 in G major, Op. 2, hasViolinParts, true]
-
A.
hasNoMusicalScore
Indicates that something lacks an associated musical score or written musical accompaniment.
-
B.
hasPianoSolo
Indicates that something includes, features, or is characterized by a piano solo performance.
-
C.
hasBrassArrangement
Indicates that something includes or is associated with a musical arrangement specifically written for brass instruments.
-
D.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
E.
includesInstruments
chosen
Indicates that one entity contains, involves, or makes use of one or more instruments as part of its composition or execution.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b02c265c819094728220d77172c6 |
completed | April 29, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:39 p.m.