Triple

T11792395
Position Surface form Disambiguated ID Type / Status
Subject Pankaj Kapur E280419 entity
Predicate spouse P13 FINISHED
Object Supriya Pathak E928195 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: Supriya Pathak | Statement: [Pankaj Kapur, spouse, Supriya Pathak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Supriya Pathak
Context triple: [Pankaj Kapur, spouse, Supriya Pathak]
  • A. Supriya Pathak chosen
    Supriya Pathak is an acclaimed Indian film, television, and theatre actress best known for her versatile character roles in Hindi and Gujarati cinema and popular TV serials.
  • B. 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.
  • C. Sarika Thakur
    Sarika Thakur, known mononymously as Sarika, is an Indian actress and former child star recognized for her work in Hindi cinema and television.
  • D. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • E. Neetu Singh
    Neetu Singh is a renowned Indian actress best known for her work in Hindi films of the 1970s and 1980s and for her later return to cinema alongside her husband Rishi Kapoor.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130fd7b9881909e79ecb49fe98d30 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.