Triple

T17632172
Position Surface form Disambiguated ID Type / Status
Subject Shakespeare-Wallah E430003 entity
Predicate awardReceivedBy P11 FINISHED
Object Madhur Jaffrey 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: Madhur Jaffrey | Statement: [Shakespeare-Wallah, awardReceivedBy, Madhur Jaffrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madhur Jaffrey
Context triple: [Shakespeare-Wallah, awardReceivedBy, Madhur Jaffrey]
  • A. Madhur Jaffrey chosen
    Madhur Jaffrey is an Indian-born actress and influential food and travel writer widely credited with popularizing Indian cuisine in the Western world.
  • B. Sakina Jaffrey
    Sakina Jaffrey is an American actress known for her roles in television series such as House of Cards, Timeless, and Billions, as well as numerous film and stage appearances.
  • C. Nandita Puri
    Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
  • D. Dimple Kapadia
    Dimple Kapadia is a renowned Indian film actress known for her work in Hindi cinema since the 1970s, acclaimed for both mainstream and critically lauded roles.
  • E. Manjula Ghattamaneni
    Manjula Ghattamaneni is an Indian film producer and actress primarily associated with Telugu cinema and a member of the prominent Ghattamaneni film family.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc276b48190923f1869ebfe4400 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.