Triple

T20150416
Position Surface form Disambiguated ID Type / Status
Subject Prabhakara E491419 entity
Predicate influencedBy P9 FINISHED
Object Jaimini 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: Jaimini | Statement: [Prabhakara, influencedBy, Jaimini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaimini
Context triple: [Prabhakara, influencedBy, Jaimini]
  • A. Jaimini chosen
    Jaimini was an ancient Indian sage and philosopher traditionally credited with founding the Purva Mimamsa school of Hindu philosophy and composing its principal sutras.
  • B. Satyakāma Jābāla
    Satyakāma Jābāla is a revered Vedic sage known for his exemplary truthfulness and devotion to spiritual knowledge, prominently featured in the Upanishadic tradition.
  • C. Shurasena
    Shurasena was an ancient Yadava king of the Vrishni clan, known in Hindu tradition as the grandfather of Krishna and a prominent ruler in the Mahabharata era.
  • D. Katyayana
    Katyayana was an ancient Indian sage and jurist traditionally regarded as one of the authoritative authors of Dharmaśāstra literature in Hindu law.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a1c5848190975b17ab07251f8b completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.