Triple

T15948315
Position Surface form Disambiguated ID Type / Status
Subject Wafa Begum E386744 entity
Predicate title P38 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: [Wafa Begum, title, Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begum
Context triple: [Wafa Begum, title, 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. Hazrat Begum
    Hazrat Begum was a Mughal princess who became one of the wives of Ahmad Shah Durrani, the founder of the Durrani Empire in Afghanistan.
  • C. 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.
  • D. Aisan Daulat Begum
    Aisan Daulat Begum was a prominent Central Asian noblewoman and matriarch of the Timurid-Moghul lineage, best known as the grandmother and influential early guardian of the Mughal emperor Babur.
  • E. Khanzada Begum
    Khanzada Begum was a Timurid princess and elder sister of Mughal emperor Babur, noted for her political marriages and influential role in early Mughal diplomacy.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.