Triple

T14830212
Position Surface form Disambiguated ID Type / Status
Subject Askari Mirza E348678 entity
Predicate sibling P363 FINISHED
Object Hindal Mirza E69288 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: Hindal Mirza | Statement: [Askari Mirza, sibling, Hindal Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindal Mirza
Context triple: [Askari Mirza, sibling, Hindal Mirza]
  • A. Hindal Mirza chosen
    Hindal Mirza was a Mughal prince, the youngest son of Emperor Babur and a notable figure in the early Mughal court and succession struggles.
  • B. Intizar Hussain
    Intizar Hussain was a prominent Pakistani writer and critic renowned for his Urdu short stories and novels that blend tradition, memory, and modernist narrative techniques.
  • C. Khalil Mirza
    Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
  • D. Mirza Jawan Bakht
    Mirza Jawan Bakht was a Mughal prince and the eldest son of the last Mughal emperor, Bahadur Shah II (Bahadur Shah Zafar), who was once considered a potential heir to the fading Mughal throne in 19th-century India.
  • E. Nilofer Khan
    Nilofer Khan is an Indian academic and administrator who became the first woman to serve as Vice-Chancellor of the University of Kashmir.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a16fd881909d246d8d1811a673 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:51 a.m.