Triple

T12213196
Position Surface form Disambiguated ID Type / Status
Subject Wajid Ali Shah E291015 entity
Predicate mother P120 FINISHED
Object Malka Kishwar E279558 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: Malka Kishwar | Statement: [Wajid Ali Shah, mother, Malka Kishwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malka Kishwar
Context triple: [Wajid Ali Shah, mother, Malka Kishwar]
  • A. Malka Kishwar chosen
    Malka Kishwar was the mother of Wajid Ali Shah, the last Nawab of Awadh, and a prominent royal figure in 19th-century Lucknow.
  • B. Moneeza Hashmi
    Moneeza Hashmi is a Pakistani television producer and media professional known for her contributions to public broadcasting and cultural programming.
  • C. Mona Qureshi
    Mona Qureshi is a television producer known for her work on high-profile British drama series, including the 2018 adaptation of Les Misérables.
  • D. Salma Lakhani
    Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
  • E. Rasheda Ali
    Rasheda Ali is an American author, public speaker, and advocate best known for her work on Parkinson’s disease awareness and as one of Muhammad Ali’s daughters.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c915f548190b34a743f0a3bb51a completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa13f64819096dc23295a6f0cdb completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.