Triple

T17937585
Position Surface form Disambiguated ID Type / Status
Subject Andhaka E448507 entity
Predicate hasMember P10 FINISHED
Object Satyaki 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: Satyaki | Statement: [Andhaka, hasMember, Satyaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satyaki
Context triple: [Andhaka, hasMember, Satyaki]
  • A. Satyaki chosen
    Satyaki is a heroic warrior and ally of the Pandavas in the Indian epic Mahabharata, renowned for his valor, loyalty, and skill in archery.
  • B. Savyasachi
    Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
  • C. Sudarshan
    Sudarshan is a common Indian surname found across various regions and communities in India.
  • D. Aniruddha
    Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
  • E. Shravikas
    Shravikas are lay followers in Jainism who observe religious duties and ethical principles while living a household life outside the monastic order.
  • 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.