Triple

T19817852
Position Surface form Disambiguated ID Type / Status
Subject Nawab Begum E476106 entity
Predicate component P35 FINISHED
Object Begum NE NERFINISHED

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: [Nawab Begum, component, Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begum
Context triple: [Nawab Begum, component, 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 (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fac7b481909a19ae0d608e01d9 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.