Triple
T20797968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Concerto for Violin, Cello and Javanese Gamelan |
E511961
|
entity |
| Predicate | featuresSoloist |
P54631
|
FINISHED |
| Object | violin soloist |
—
|
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 soloist | Statement: [Double Concerto for Violin, Cello and Javanese Gamelan, featuresSoloist, violin soloist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSoloist Context triple: [Double Concerto for Violin, Cello and Javanese Gamelan, featuresSoloist, violin soloist]
-
A.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
B.
featuresSoloPerformancesBy
Indicates that the subject includes or showcases solo performances carried out by the specified performer or performers.
-
C.
soloist
Indicates that an entity performs or appears alone as the primary featured performer in an artistic or musical context.
-
D.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
E.
featuresPrimaryInstrument
chosen
Indicates that an entity is associated with the main or most prominent instrument used or highlighted in another entity (such as a work, performance, or recording).
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ae2c4c819087f620df31dc1aba |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.