Triple

T547199
Position Surface form Disambiguated ID Type / Status
Subject Bahadur Shah II E12758 entity
Predicate spouse P13 FINISHED
Object Taj Mahal Begum
Taj Mahal Begum was one of the wives of the last Mughal emperor of India, Bahadur Shah II (Bahadur Shah Zafar), and a member of the late Mughal royal household in Delhi.
E71010 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: Taj Mahal Begum | Statement: [Bahadur Shah II, spouse, Taj Mahal Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taj Mahal Begum
Context triple: [Bahadur Shah II, spouse, Taj Mahal Begum]
  • A. Mumtaz Mahal
    Mumtaz Mahal was the beloved wife of Mughal emperor Shah Jahan, whose death inspired the construction of the Taj Mahal as her mausoleum.
  • B. Maham Begum
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • C. 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.
  • D. 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.
  • E. Dildar Begum
    Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
  • 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: Taj Mahal Begum
Triple: [Bahadur Shah II, spouse, Taj Mahal Begum]
Generated description
Taj Mahal Begum was one of the wives of the last Mughal emperor of India, Bahadur Shah II (Bahadur Shah Zafar), and a member of the late Mughal royal household in Delhi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taj Mahal Begum
Target entity description: Taj Mahal Begum was one of the wives of the last Mughal emperor of India, Bahadur Shah II (Bahadur Shah Zafar), and a member of the late Mughal royal household in Delhi.
  • A. Mumtaz Mahal
    Mumtaz Mahal was the beloved wife of Mughal emperor Shah Jahan, whose death inspired the construction of the Taj Mahal as her mausoleum.
  • B. Maham Begum
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • C. 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.
  • D. 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.
  • E. Dildar Begum
    Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
  • 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_69a4efcc641c8190b9538069fa88db94 completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f0a7376081908eb2ebfeb731dab1 completed March 2, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69a4f103ab10819081675ccae0b210b5 completed March 2, 2026, 2:08 a.m.
Created at: March 1, 2026, 7:32 p.m.