Triple

T18749312
Position Surface form Disambiguated ID Type / Status
Subject Jehangir Wadia E458485 entity
Predicate mother P120 FINISHED
Object Maureen Wadia 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: Maureen Wadia | Statement: [Jehangir Wadia, mother, Maureen Wadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maureen Wadia
Context triple: [Jehangir Wadia, mother, Maureen Wadia]
  • A. Maureen Wadia chosen
    Maureen Wadia is an Indian magazine editor and former model best known for her work with Gladrags and for organizing prominent beauty pageants in India.
  • B. Dina Wadia
    Dina Wadia was the only child of Muhammad Ali Jinnah, the founder of Pakistan, and a prominent figure known for her life largely spent in India and later the United States.
  • C. Nina Wadia
    Nina Wadia is a British actress and comedian best known for her work on the sketch show "Goodness Gracious Me" and the soap opera "EastEnders."
  • D. Reema Nanavaty
    Reema Nanavaty is an Indian social worker and leader known for her long-time directorship of the Self-Employed Women’s Association (SEWA), where she has worked to empower informal women workers and promote grassroots economic development.
  • E. Sumbul Desai
    Sumbul Desai is a physician and Apple executive who leads the company’s health initiatives, including features related to wellness and medical research across its devices and services.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579eb7350819099d7291207781116 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.