Triple
T9821746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiruvaiyaru |
E238546
|
entity |
| Predicate | musicEventType |
P7504
|
FINISHED |
| Object | pancharatna kriti group singing at Tyagaraja Aradhana |
—
|
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: pancharatna kriti group singing at Tyagaraja Aradhana | Statement: [Thiruvaiyaru, musicEventType, pancharatna kriti group singing at Tyagaraja Aradhana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicEventType Context triple: [Thiruvaiyaru, musicEventType, pancharatna kriti group singing at Tyagaraja Aradhana]
-
A.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
B.
typeOfPerformances
Indicates the kinds or categories of performances associated with or offered by an entity.
-
C.
musicActivity
Indicates involvement in an activity related to creating, performing, practicing, or engaging with music.
-
D.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
musicMovement
Indicates a relationship where a musical work, performance, or composition is associated with a specific movement or section within a larger musical piece.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3147ecc81908cfca84c05a367d9 |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:31 p.m.