Triple
T5983772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanshin |
E133177
|
entity |
| Predicate | typicalPlectrumMaterial |
P1272
|
FINISHED |
| Object | water buffalo horn |
—
|
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: water buffalo horn | Statement: [Sanshin, typicalPlectrumMaterial, water buffalo horn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlectrumMaterial Context triple: [Sanshin, typicalPlectrumMaterial, water buffalo horn]
-
A.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
B.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
C.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
E.
traditionalInstrument
Indicates that an entity is a musical instrument associated with the traditional or customary music of a particular culture, region, or community.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6c4f2481909cdcf931331b3595 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.