Triple

T697097
Position Surface form Disambiguated ID Type / Status
Subject Humayun E13916 entity
Predicate mother P120 FINISHED
Object Maham Begum E70021 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: Maham Begum | Statement: [Humayun, mother, Maham Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maham Begum
Context triple: [Humayun, mother, Maham Begum]
  • A. Maham Begum chosen
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • B. Hamida Banu Begum
    Hamida Banu Begum was a 16th-century Mughal empress and the wife of Emperor Humayun, best known as the mother of Emperor Akbar and a significant figure in the early Mughal court.
  • 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. Sahiba Banu Begum
    Sahiba Banu Begum was a Mughal princess and consort associated with the imperial family during the reign of Emperor Jahangir.
  • E. 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.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c8055881909565ebde2be8fd7a completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666acf1081908325ae2ba74b6bae completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:36 p.m.