Triple

T17937588
Position Surface form Disambiguated ID Type / Status
Subject Andhaka E448507 entity
Predicate hasMember P10 FINISHED
Object Uddhava 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: Uddhava | Statement: [Andhaka, hasMember, Uddhava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uddhava
Context triple: [Andhaka, hasMember, Uddhava]
  • A. Uddhava chosen
    Uddhava is a prominent figure in Hindu mythology, known as a close friend and wise counselor of Krishna in the Yadava dynasty.
  • B. Pradyumna
    Pradyumna is a prominent figure in Hindu mythology, known as the son of Krishna and Rukmini and considered an incarnation of the love god Kamadeva.
  • C. Aniruddha
    Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
  • D. Sahadeva
    Sahadeva is one of the five Pandava brothers in the Indian epic Mahabharata, renowned for his wisdom, knowledge of astrology, and loyalty.
  • E. Anjaneya
    Anjaneya is another name for the Hindu deity Hanuman, revered as a symbol of strength, devotion, and selfless service.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad937f0881909d22ac8c2be9e35e completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.