Triple

T17309673
Position Surface form Disambiguated ID Type / Status
Subject Sultanam Begum E420260 entity
Predicate relative P37 FINISHED
Object Ruqaiya Sultan Begum NE ONNED1

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: Ruqaiya Sultan Begum | Statement: [Sultanam Begum, relative, Ruqaiya Sultan Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruqaiya Sultan Begum
Context triple: [Sultanam Begum, relative, Ruqaiya Sultan Begum]
  • A. Ruqaiya Sultan Begum chosen
    Ruqaiya Sultan Begum was a Mughal empress and chief consort of Emperor Akbar, known for her high status and influence in the imperial court.
  • B. Aisha Sultan Begum
    Aisha Sultan Begum was a Timurid princess best known as one of the early wives of Babur, the founder of the Mughal Empire.
  • C. Salima Sultan Begum
    Salima Sultan Begum was a Mughal empress and influential consort in the court of Emperor Akbar, known for her political acumen and high status within the imperial harem.
  • D. Khayr al-Nisa Begum
    Khayr al-Nisa Begum was a prominent Safavid royal consort and influential queen mother in early 17th-century Iran.
  • E. Izz-un-Nissa Begum
    Izz-un-Nissa Begum was a Mughal princess and one of Emperor Shah Jahan’s wives, known for her high rank and influence within the imperial harem.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439970cf08190bc9e49ba830da0d9 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954cfd048190b201c5e457c2a4a2 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:43 a.m.