Triple
T2507099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violin Partitas and Sonatas |
E52609
|
entity |
| Predicate | intendedInstrument |
P12878
|
FINISHED |
| Object | violin |
—
|
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: violin | Statement: [Violin Partitas and Sonatas, intendedInstrument, violin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedInstrument Context triple: [Violin Partitas and Sonatas, intendedInstrument, violin]
-
A.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
B.
introducedInstrument
Indicates that one entity caused or brought about the initial use or adoption of a particular instrument by another entity or within a given context.
-
C.
musicInstrumentation
chosen
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
D.
instrumentalIn
Indicates that one entity serves as a crucial means, tool, or contributing factor in bringing about an outcome or enabling another entity’s action or effect.
-
E.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.