Triple
T31415542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concerto for Sitar and Orchestra |
E801382
|
entity |
| Predicate | performingInstrument |
P12878
|
FINISHED |
| Object | sitar |
—
|
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: sitar | Statement: [Concerto for Sitar and Orchestra, performingInstrument, sitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performingInstrument Context triple: [Concerto for Sitar and Orchestra, performingInstrument, sitar]
-
A.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
B.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
C.
parentInstrument
Indicates that one instrument serves as the broader, containing, or originating instrument from which another, more specific or derived instrument is related.
-
D.
musicInstrumentation
chosen
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
E.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 30, 2026, 8:43 p.m.