Triple

T6444299
Position Surface form Disambiguated ID Type / Status
Subject Meena Khadikar E138302 entity
Predicate name P16 FINISHED
Object Meena Khadikar E138302 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: Meena Khadikar | Statement: [Meena Khadikar, name, Meena Khadikar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meena Khadikar
Context triple: [Meena Khadikar, name, Meena Khadikar]
  • A. Meena Khadikar chosen
    Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
  • B. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • C. Supriya Sule
    Supriya Sule is an Indian politician and prominent leader from Maharashtra, known for her role as a senior member of the Nationalist Congress Party and her tenure as a Member of Parliament in the Lok Sabha.
  • D. Sumitra Bhave
    Sumitra Bhave was an acclaimed Indian filmmaker and screenwriter best known for her socially conscious, character-driven Marathi films, many of which she co-directed with Sunil Sukthankar.
  • E. Persis Khambatta
    Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698c17ec81909f6bbcbe636a67fd completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eec623c081908352580b64218ec4 completed March 27, 2026, 8:55 p.m.
Created at: March 22, 2026, 4:46 p.m.