Triple

T15004341
Position Surface form Disambiguated ID Type / Status
Subject Prince Salim E377670 entity
Predicate spouse P13 FINISHED
Object Shah Begum E348424 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: Shah Begum | Statement: [Prince Salim, spouse, Shah Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shah Begum
Context triple: [Prince Salim, spouse, Shah Begum]
  • A. Shah Begum chosen
    Shah Begum was a Timurid-era noblewoman known as the daughter of Qutlugh Nigar Khanum and a member of the Mughal imperial family.
  • B. Maham Begum
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • C. Badshah Begum
    Badshah Begum was a prominent Mughal empress and influential royal consort in 18th-century India.
  • D. Kandahari Begum
    Kandahari Begum was a Mughal princess and the first wife of Emperor Shah Jahan, known for her Timurid lineage and political significance in the Mughal court.
  • E. Sultanam Begum
    Sultanam Begum was a Mughal noblewoman known primarily as the mother of Ruqaiya Sultan Begum, chief consort of the emperor Akbar.
  • 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_69ff133571008190b7e7867208095b90 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 2:54 a.m.