Triple
T31658740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadhinchene |
E807934
|
entity |
| Predicate | notableComposerSchool |
P15584
|
FINISHED |
| Object | Tyagaraja school |
E807571
|
NE 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: Tyagaraja school | Statement: [Sadhinchene, notableComposerSchool, Tyagaraja school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableComposerSchool Context triple: [Sadhinchene, notableComposerSchool, Tyagaraja school]
-
A.
notableComposerOfType
Indicates that an entity is a well-known or distinguished composer associated with a specified type, category, or genre of composition.
-
B.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
-
C.
notableAlmaMater
Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
-
D.
hasArtisticSchool
chosen
Indicates that an entity is associated with, belongs to, or is characterized by a particular artistic school or style.
-
E.
notableConductor
Indicates that the subject is a conductor who is recognized as notable or distinguished in their field.
- F. None of above.
Provenance (4 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b946396b8819090859fd1be137d70 |
completed | June 12, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:56 p.m.