Triple

T3299282
Position Surface form Disambiguated ID Type / Status
Subject Gulbadan Begum E69289 entity
Predicate hasHonorific P2097 FINISHED
Object Begum E106849 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: Begum | Statement: [Gulbadan Begum, hasHonorific, Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begum
Context triple: [Gulbadan Begum, hasHonorific, Begum]
  • A. Begum chosen
    Begum is an honorific title historically used in South Asia for Muslim women of high social rank, especially queens, princesses, and noblewomen.
  • B. Kandahari Begum
    Kandahari Begum was a Mughal princess and the first wife of Emperor Shah Jahan, known for her Timurid lineage and political significance in the Mughal court.
  • C. Haji Begum
    Haji Begum was a Mughal empress and chief consort of Emperor Humayun, best known for overseeing the construction of his grand mausoleum in Delhi.
  • D. Dilras Banu Begum
    Dilras Banu Begum was a 17th-century Mughal princess and the chief consort of Emperor Aurangzeb, remembered as the mother of several of his children and for the grand mausoleum Bibi Ka Maqbara built in her memory.
  • E. Maham Begum
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3d759908190b1f5170930ff03c5 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:11 p.m.