Triple

T18441099
Position Surface form Disambiguated ID Type / Status
Subject Sultan Muhammad Akbar E450527 entity
Predicate sibling P363 FINISHED
Object Zinat-un-Nissa E427907 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: Zinat-un-Nissa | Statement: [Sultan Muhammad Akbar, sibling, Zinat-un-Nissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinat-un-Nissa
Context triple: [Sultan Muhammad Akbar, sibling, Zinat-un-Nissa]
  • A. Zinat-un-Nissa chosen
    Zinat-un-Nissa was a Mughal princess, daughter of Emperor Aurangzeb and noted for her piety, scholarship, and patronage of Islamic architecture.
  • B. Zinat-un-Nissa
    Zinat-un-Nissa was the wife of Shuja-ud-Din Muhammad Khan, the Nawab of Bengal in the early 18th century.
  • C. Mihr-un-Nissa
    Mihr-un-Nissa, better known by her royal title Nur Jahan, was a powerful and influential Mughal empress and the twentieth wife of Emperor Jahangir, renowned for her political acumen and cultural patronage in 17th-century India.
  • D. Fakhr-un-Nissa
    Fakhr-un-Nissa was the wife of Hyder Ali, the 18th-century de facto ruler of the Kingdom of Mysore in southern India.
  • E. Taj al-Din Khatun
    Taj al-Din Khatun was a medieval Persian noblewoman known primarily as the mother of the Seljuk ruler Sanjar.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c10a86c819091196968b648fc92 completed April 19, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fdb4c648190aa56212c3c1e15ce completed May 13, 2026, 5:44 a.m.
Created at: April 10, 2026, 11:30 a.m.