Triple
T21908302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pāṇinian school |
E540995
|
entity |
| Predicate | hasInfluenced |
P9
|
FINISHED |
| Object | Kātyāyana |
—
|
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: Kātyāyana | Statement: [Pāṇinian school, hasInfluenced, Kātyāyana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kātyāyana Context triple: [Pāṇinian school, hasInfluenced, Kātyāyana]
-
A.
Katyayana
chosen
Katyayana was an ancient Indian sage and jurist traditionally regarded as one of the authoritative authors of Dharmaśāstra literature in Hindu law.
-
B.
Dattilam
Dattilam is an ancient Sanskrit treatise that systematically outlines the foundational theories and practices of early Indian classical music.
-
C.
Vatsyayana
Vatsyayana was an influential ancient Indian philosopher best known for his authoritative commentaries on the Nyaya school of logic and epistemology.
-
D.
Vatsyayana
Vatsyayana was an ancient Indian philosopher and scholar best known for composing the Kamasutra, a foundational text on love, sexuality, and social conduct.
-
E.
Sāyaṇa
Sāyaṇa was a 14th-century South Indian Vedic scholar and minister renowned for his extensive and influential Sanskrit commentaries on the Vedas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d806688190b23502aacbfde4bd |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:39 p.m.