Triple

T20419829
Position Surface form Disambiguated ID Type / Status
Subject Nitish Kumar E500816 entity
Predicate familyName P18 FINISHED
Object Kumar 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: Kumar | Statement: [Nitish Kumar, familyName, Kumar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumar
Context triple: [Nitish Kumar, familyName, Kumar]
  • A. Kumar chosen
    Kumar is a common Indian surname and given name used across various regions and communities in South Asia.
  • B. Kunal
    Kunal is an archaeological site in Haryana, India, known for its early Harappan (Indus Valley Civilization) remains.
  • C. Kunal Khemu
    Kunal Khemu is an Indian film actor who began his career as a popular child artist in the 1990s and later gained recognition for his roles in Hindi comedies and dramas.
  • D. Arun
    Arun is a local government district and borough in West Sussex, England, named after the River Arun and encompassing coastal towns such as Bognor Regis and Littlehampton.
  • E. Arun
    Arun is a masculine given name commonly used in South Asian cultures, often associated with the sun or dawn.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba39f7081909358f1103a0f241c completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.