Triple

T19018173
Position Surface form Disambiguated ID Type / Status
Subject Shah Alam I E465411 entity
Predicate spouse P13 FINISHED
Object Zinat-un-Nisa 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: Zinat-un-Nisa Begum | Statement: [Shah Alam I, spouse, Zinat-un-Nisa Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinat-un-Nisa Begum
Context triple: [Shah Alam I, spouse, Zinat-un-Nisa Begum]
  • A. Zinat-un-Nisa Begum chosen
    Zinat-un-Nisa Begum was a Mughal princess and consort of Prince Muazzam, who later became the Mughal emperor Bahadur Shah I.
  • 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. Shakr-un-Nissa Begum
    Shakr-un-Nissa Begum was a Mughal princess, the daughter of Emperor Akbar, known as a member of the imperial Timurid dynasty in 16th-century India.
  • D. Khayr al-Nisa Begum
    Khayr al-Nisa Begum was a prominent Safavid royal consort and influential queen mother in early 17th-century Iran.
  • E. Nur-un-Nisa Begum
    Nur-un-Nisa Begum was a Mughal princess and consort of Emperor Bahadur Shah I, belonging to the imperial Timurid-Mughal royal family.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6dd0e6c8190a6dc6af1f7901299 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.