Triple
T21908039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siddhānta-kaumudī |
E540989
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Pāṇini |
—
|
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: Pāṇini | Statement: [Siddhānta-kaumudī, influencedBy, Pāṇini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pāṇini Context triple: [Siddhānta-kaumudī, influencedBy, Pāṇini]
-
A.
Pāṇini
chosen
Pāṇini was an ancient Indian grammarian whose systematic and highly influential treatise, the Aṣṭādhyāyī, laid the foundations of classical Sanskrit grammar and linguistic analysis.
-
B.
Bhartṛhari
Bhartṛhari was a 5th-century Indian philosopher and grammarian whose work on language, meaning, and the philosophy of grammar profoundly shaped later Indian thought.
-
C.
Ashvapati
Ashvapati is a figure from Hindu tradition known as the father of the Queen of Ayodhya.
-
D.
Bādarāyaṇa
Bādarāyaṇa is an ancient Indian sage traditionally credited with authoring the Brahma Sūtras, a foundational text of the Vedānta school of Hindu philosophy.
-
E.
Banabhatta
Banabhatta was a 7th-century Sanskrit prose writer and court poet to King Harsha, best known for his works "Harshacharita" and "Kadambari."
- 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.