Triple
T31415300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annapurna Devi |
E801377
|
entity |
| Predicate | memberOfGharana |
P134272
|
FINISHED |
| Object | Maihar gharana |
—
|
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: Maihar gharana | Statement: [Annapurna Devi, memberOfGharana, Maihar gharana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfGharana Context triple: [Annapurna Devi, memberOfGharana, Maihar gharana]
-
A.
musicalGharana
Indicates a stylistic lineage or school within a musical tradition to which an artist, performance, or composition belongs.
-
B.
associatedWithGharana
chosen
Indicates a relationship where an entity is linked or connected to a particular gharana (a specific musical or artistic lineage or school).
-
C.
parentRagaGroup
Indicates that one raga group is the immediate parent or higher-level grouping of another raga group in a hierarchical structure.
-
D.
hasRaga
Indicates that something (such as a musical piece, performance, or composition) is associated with or based on a specific raga.
-
E.
hasGandharam
Indicates a relationship where one entity possesses, is associated with, or includes a gandharam (a specific musical note or tonal element) in relation to another entity.
- 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_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 30, 2026, 8:42 p.m.