Triple

T19743883
Position Surface form Disambiguated ID Type / Status
Subject Begum of Awadh E474200 entity
Predicate notableBearer P458 FINISHED
Object Malika Kishwar 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: Malika Kishwar | Statement: [Begum of Awadh, notableBearer, Malika Kishwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malika Kishwar
Context triple: [Begum of Awadh, notableBearer, Malika 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. Nafisa Ali
    Nafisa Ali is an Indian actress, former Miss India, and social activist known for her roles in Hindi cinema and her work in public life.
  • C. Faiza Rauf
    Faiza Rauf was an Egyptian princess and member of the Muhammad Ali dynasty, known as the daughter of King Fuad I of Egypt.
  • D. Nida Manzoor
    Nida Manzoor is a British screenwriter and director known for her sharp, music-driven comedy and representation of Muslim women, most prominently in her work on the series "We Are Lady Parts."
  • E. Sarah Kameela Impey
    Sarah Kameela Impey is a British actress best known for her leading role in the critically acclaimed comedy series "We Are Lady Parts."
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162f0f88190b652fff01ee23090 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.