Triple

T6112563
Position Surface form Disambiguated ID Type / Status
Subject Abhimanyu E136279 entity
Predicate mentor P3665 FINISHED
Object Krishna E18565 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: Krishna | Statement: [Abhimanyu, mentor, Krishna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna
Context triple: [Abhimanyu, mentor, Krishna]
  • A. Krishna chosen
    Krishna is a major Hindu deity revered as the eighth avatar of Vishnu and celebrated for his roles as a divine lover, charioteer, and teacher in texts like the Bhagavad Gita and the Mahabharata.
  • B. Krishna
    Krishna is a major river in southern India that flows through the states of Maharashtra, Karnataka, Telangana, and Andhra Pradesh before emptying into the Bay of Bengal.
  • C. Krishnaa
    Krishnaa is another name for Draupadi, the central heroine of the Indian epic Mahabharata and wife of the five Pandava brothers.
  • D. Ramachandra
    Ramachandra is a common Indian male given name of Sanskrit origin, often associated with the Hindu deity Lord Rama.
  • E. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbde2048190909aa3a8097bcf93 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141619c148190b0fb94e2b1458510 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:13 p.m.