Triple

T5680971
Position Surface form Disambiguated ID Type / Status
Subject Panini E125197 entity
Predicate influenced P9 FINISHED
Object Katyayana E485703 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: Katyayana | Statement: [Panini, influenced, Katyayana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katyayana
Context triple: [Panini, influenced, Katyayana]
  • 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. Katyayani
    Katyayani is a fierce and protective form of the Hindu goddess Durga, venerated especially for granting strength, courage, and the removal of obstacles.
  • C. Yajnaseni
    Yajnaseni is another name for Draupadi, the central heroine of the Indian epic Mahabharata, renowned for her strength, devotion, and pivotal role in the Kurukshetra war.
  • D. Vatsyayana
    Vatsyayana was an influential ancient Indian philosopher best known for his authoritative commentaries on the Nyaya school of logic and epistemology.
  • E. Jaimini
    Jaimini was an ancient Indian sage and philosopher traditionally credited with founding the Purva Mimamsa school of Hindu philosophy and composing its principal sutras.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02397c01081909793bb53ad7cbbce completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a35dd9c8190acd2ee8e94f309a6 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.