Triple
T29573588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumar Gandharva |
E753375
|
entity |
| Predicate | schoolOfMusic |
P15584
|
FINISHED |
| Object | Dewas gharana (associated style) |
—
|
NE NERFINISHED |
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: Dewas gharana (associated style) | Statement: [Kumar Gandharva, schoolOfMusic, Dewas gharana (associated style)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolOfMusic Context triple: [Kumar Gandharva, schoolOfMusic, Dewas gharana (associated style)]
-
A.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
-
B.
hasMusicInstitution
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
-
C.
choreographicSchool
Indicates that one entity is a school, tradition, or style of choreography associated with the other entity.
-
D.
genreTaught
Indicates that an agent teaches or provides instruction in a particular genre.
-
E.
hasArtisticSchool
chosen
Indicates that an entity is associated with, belongs to, or is characterized by a particular artistic school or style.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 6 p.m.