Triple
T28946874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahari (temple dancer) |
E730603
|
entity |
| Predicate | artFormInfluence |
P20089
|
FINISHED |
| Object | abhinaya in Odissi dance |
—
|
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: abhinaya in Odissi dance | Statement: [Mahari (temple dancer), artFormInfluence, abhinaya in Odissi dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artFormInfluence Context triple: [Mahari (temple dancer), artFormInfluence, abhinaya in Odissi dance]
-
A.
influenceOnArt
chosen
Indicates that one entity has affected, shaped, or inspired the artistic style, content, or development of another.
-
B.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
C.
artForm
Indicates the type or category of artistic expression that characterizes or defines something (e.g., painting, music, dance).
-
D.
artReform
Indicates a process or initiative that changes, restructures, or modernizes practices, policies, or institutions within the domain of art.
-
E.
artAndArchitecture
Indicates a relationship in which something pertains jointly to both artistic expression and architectural design or structures.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65b8710908190b3746b9a711484b3 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:40 a.m.