Triple

T15004343
Position Surface form Disambiguated ID Type / Status
Subject Prince Salim E377670 entity
Predicate child P120 FINISHED
Object Khurram E73123 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: Khurram | Statement: [Prince Salim, child, Khurram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khurram
Context triple: [Prince Salim, child, Khurram]
  • A. Khurram chosen
    Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • B. Abdul Khan
    Abdul Khan was one of the individuals killed in the 1987 Hungerford massacre, a mass shooting in Berkshire, England.
  • C. Kamran Mirza
    Kamran Mirza was a Mughal prince, the second son of Emperor Babur and a prominent political figure in the early Mughal Empire known for his repeated rebellions against his brother Humayun.
  • D. Omar Khan
    Omar Khan was a prominent 19th-century ruler of the Kokand Khanate in Central Asia, known for his patronage of culture and literature.
  • E. Muhammad Kam Bakhsh
    Muhammad Kam Bakhsh was the youngest son of the Mughal emperor Aurangzeb (Alamgir I), known for his brief and ultimately unsuccessful bid for power during the empire’s decline.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a04eec8190b347bf3637aba0bc completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:54 a.m.