Triple

T19596555
Position Surface form Disambiguated ID Type / Status
Subject Vishnu Sahasranama E470362 entity
Predicate hasCommentaryBy P4244 FINISHED
Object Nilakantha 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: Nilakantha | Statement: [Vishnu Sahasranama, hasCommentaryBy, Nilakantha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilakantha
Context triple: [Vishnu Sahasranama, hasCommentaryBy, Nilakantha]
  • A. Nilakantha Somayaji
    Nilakantha Somayaji was a 15th–16th century Indian mathematician and astronomer of the Kerala school, noted for his pioneering work on infinite series and planetary models.
  • B. Nīlakaṇṭha chosen
    Nīlakaṇṭha is an epithet of the Hindu god Shiva, referring to him as the “blue-throated” one who drank poison to save the universe.
  • C. Sāyaṇa Mādhava
    Sāyaṇa Mādhava is a medieval Indian scholar best known for his influential commentaries on the Vedas and contributions to Vedic exegesis.
  • D. Madhava
    Madhava is a revered epithet of the Hindu god Vishnu, highlighting him as the consort of Lakshmi and the supreme preserver of the universe.
  • E. Bhaskararaya
    Bhaskararaya was an 18th-century Hindu scholar and authority on Shakta Tantra, renowned for his influential and detailed commentaries on key devotional and philosophical texts.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407b997881909762c8f919c9cdad completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.