Triple

T697098
Position Surface form Disambiguated ID Type / Status
Subject Humayun E13916 entity
Predicate spouse P13 FINISHED
Object Hamida Banu Begum E77508 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: Hamida Banu Begum | Statement: [Humayun, spouse, Hamida Banu Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamida Banu Begum
Context triple: [Humayun, spouse, Hamida Banu Begum]
  • A. Hamida Banu Begum chosen
    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.
  • B. Maham Begum
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • C. Sahiba Banu Begum
    Sahiba Banu Begum was a Mughal princess and consort associated with the imperial family during the reign of Emperor Jahangir.
  • D. 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.
  • E. Gulbadan Begum
    Gulbadan Begum was a Mughal princess and memoirist, best known for writing the Humayun-nama, an important historical account of her half-brother Emperor Humayun’s life and reign.
  • 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_69a66d9140148190a439ac7a03ee88b2 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:36 p.m.