Triple

T547166
Position Surface form Disambiguated ID Type / Status
Subject Babur E12757 entity
Predicate spouse P13 FINISHED
Object Maham Begum
Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
E70021 NE FINISHED

How this triple was built (4 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: Maham Begum | Statement: [Babur, spouse, Maham Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maham Begum
Context triple: [Babur, spouse, Maham Begum]
  • A. Aisha Sultan Begum
    Aisha Sultan Begum was a Timurid princess best known as one of the early wives of Babur, the founder of the Mughal Empire.
  • B. Gulbadan Begum
    Gulbadan Begum was a Mughal princess and memoirist, best known for writing the Humayun-nama, an important historical account of her half-brother Emperor Humayun’s life and reign.
  • C. Shah Khanum
    Shah Khanum was the grandmother of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • D. Qutlugh Nigar Khanum
    Qutlugh Nigar Khanum was a Timurid princess and consort who became historically notable as the mother of Babur, the founder of the Mughal Empire.
  • E. Lutfunnisa Begum
    Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maham Begum
Triple: [Babur, spouse, Maham Begum]
Generated description
Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maham Begum
Target entity description: Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • A. Aisha Sultan Begum
    Aisha Sultan Begum was a Timurid princess best known as one of the early wives of Babur, the founder of the Mughal Empire.
  • B. Gulbadan Begum
    Gulbadan Begum was a Mughal princess and memoirist, best known for writing the Humayun-nama, an important historical account of her half-brother Emperor Humayun’s life and reign.
  • C. Shah Khanum
    Shah Khanum was the grandmother of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • D. Qutlugh Nigar Khanum
    Qutlugh Nigar Khanum was a Timurid princess and consort who became historically notable as the mother of Babur, the founder of the Mughal Empire.
  • E. Lutfunnisa Begum
    Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • F. None of above. chosen

Provenance (5 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e2e8c88190a66d759ed3094e18 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9b92f1c8190bdcf5ae3a07edb3a completed March 2, 2026, 1:36 a.m.
NEDg Description generation batch_69a4ea5488948190aab4d3ef1696844f completed March 2, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69a4eaa40a608190b567fb808b0a7dd1 completed March 2, 2026, 1:40 a.m.
Created at: March 1, 2026, 7:32 p.m.