Triple
T2838602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathak |
E62409
|
entity |
| Predicate | BanarasGharanaSpecialty |
P21380
|
FINISHED |
| Object | balance of nritta and abhinaya |
—
|
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: balance of nritta and abhinaya | Statement: [Kathak, BanarasGharanaSpecialty, balance of nritta and abhinaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BanarasGharanaSpecialty Context triple: [Kathak, BanarasGharanaSpecialty, balance of nritta and abhinaya]
-
A.
traditionalInstrument
Indicates that an entity is a musical instrument associated with the traditional or customary music of a particular culture, region, or community.
-
B.
isTraditionallySungBy
Indicates that something, typically a song or chant, is customarily performed vocally by a particular person, group, or type of performer according to tradition.
-
C.
genreSpecialty
chosen
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
D.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
E.
hasMusicDirector
Indicates that an entity (such as a film, show, or production) is associated with a specific person who served as its music director.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdef015bc81909f6a2ff17b22862f |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.