Triple

T21070731
Position Surface form Disambiguated ID Type / Status
Subject Nitin Desai E519099 entity
Predicate name P16 FINISHED
Object Nitin Chandrakant Desai 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: Nitin Chandrakant Desai | Statement: [Nitin Desai, name, Nitin Chandrakant Desai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitin Chandrakant Desai
Context triple: [Nitin Desai, name, Nitin Chandrakant Desai]
  • A. Nitin Desai chosen
    Nitin Desai is a noted Indian production designer and art director renowned for his elaborate sets in major Bollywood films and historical epics.
  • B. Narayan Desai
    Narayan Desai was an Indian Gandhian activist, writer, and educator known for his extensive work on documenting and propagating Mahatma Gandhi’s philosophy and life.
  • C. Bhupendra Desai
    Bhupendra Desai is an Indian politician known for serving as a Member of Parliament in the Lok Sabha.
  • D. Rajen Kothari
    Rajen Kothari was an Indian cinematographer known for his visually expressive work in Hindi cinema, including acclaimed films like "Zubeidaa."
  • E. Harish Salve
    Harish Salve is a prominent Indian senior advocate and former Solicitor General of India, renowned for representing India in several high-profile cases before the Supreme Court and international tribunals.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb8ed4481909c9f804ccd8da3e2 completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:46 p.m.