Triple

T21195294
Position Surface form Disambiguated ID Type / Status
Subject Khushwant Singh E522310 entity
Predicate givenName P17 FINISHED
Object Khushwant 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: Khushwant | Statement: [Khushwant Singh, givenName, Khushwant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khushwant
Context triple: [Khushwant Singh, givenName, Khushwant]
  • A. Khushwant Singh chosen
    Khushwant Singh was a prominent Indian author, journalist, and satirist known for his witty prose, historical novels, and candid commentary on Indian society and politics.
  • B. Shiv Kumar Batalvi
    Shiv Kumar Batalvi was a celebrated Punjabi poet renowned for his deeply emotional, romantic, and tragic verse that left a lasting impact on modern Punjabi literature.
  • C. Balraj Sahni
    Balraj Sahni was a renowned Indian film and stage actor, celebrated for his naturalistic performances in Hindi cinema classics of the 1950s–1970s.
  • D. Jeet-Pritam
    Jeet-Pritam is an Indian music composer duo known for creating film soundtracks in Bollywood cinema.
  • E. Dharamvir Bharati
    Dharamvir Bharati was a prominent Indian Hindi-language writer, poet, and playwright known for his influential novels, essays, and contributions to modern Hindi literature.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333aa0fc81909b17eb6a26f389ec completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.