Triple

T5558391
Position Surface form Disambiguated ID Type / Status
Subject Kandahari Begum E145704 entity
Predicate spouse P13 FINISHED
Object Prince Khurram E340934 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: Prince Khurram | Statement: [Kandahari Begum, spouse, Prince Khurram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Khurram
Context triple: [Kandahari Begum, spouse, Prince Khurram]
  • A. Prince Khurram chosen
    Prince Khurram, later known as the Mughal emperor Shah Jahan, was a 17th-century ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • B. Raja Zulqarnain Khan
    Raja Zulqarnain Khan is a Pakistani politician who served as the President of Azad Jammu and Kashmir.
  • C. Sultan Daniyal Mirza
    Sultan Daniyal Mirza was a Mughal prince, the third son of Emperor Akbar, known for his military campaigns in the Deccan and his ultimately tragic early death.
  • D. Fazal Shah
    Fazal Shah was a Punjabi poet renowned for his romantic narrative poetry, particularly his celebrated retellings of classic love legends.
  • E. Sultan Ahmad Khan
    Sultan Ahmad Khan was a Central Asian Timurid-era prince from the royal lineage associated with the Chagatai Khanate.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201529a88190bf0135e032b048ea completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283ebcd081909c86ced90c44266f completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:36 p.m.