Triple

T10443942
Position Surface form Disambiguated ID Type / Status
Subject Parva E246235 entity
Predicate characterFocus P31 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: [Parva, characterFocus, Krishna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna
Context triple: [Parva, characterFocus, 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, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • E. Ramachandra
    Ramachandra is a common Indian male given name of Sanskrit origin, often associated with the Hindu deity Lord Rama.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbe5dc48190b4291bfd0fb988eb completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:16 p.m.