Triple

T906939
Position Surface form Disambiguated ID Type / Status
Subject Begum Hazrat Mahal E19568 entity
Predicate title P38 FINISHED
Object Begum
Begum is an honorific title historically used in South Asia for Muslim women of high social rank, especially queens, princesses, and noblewomen.
 E106849 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: Begum | Statement: [Begum Hazrat Mahal, title, Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Begum
Context triple: [Begum Hazrat Mahal, title, Begum]
  • A. Haji Begum
    Haji Begum was a Mughal empress and chief consort of Emperor Humayun, best known for overseeing the construction of his grand mausoleum in Delhi.
  • B. Dilras Banu Begum
    Dilras Banu Begum was a 17th-century Mughal princess and the chief consort of Emperor Aurangzeb, remembered as the mother of several of his children and for the grand mausoleum Bibi Ka Maqbara built in her memory.
  • C. Maham Begum
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • D. Salima Sultan Begum
    Salima Sultan Begum was a Mughal empress and influential consort in the court of Emperor Akbar, known for her political acumen and high status within the imperial harem.
  • 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: Begum
Triple: [Begum Hazrat Mahal, title, Begum]
Generated description
Begum is an honorific title historically used in South Asia for Muslim women of high social rank, especially queens, princesses, and noblewomen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Begum
Target entity description: Begum is an honorific title historically used in South Asia for Muslim women of high social rank, especially queens, princesses, and noblewomen.
  • A. Haji Begum
    Haji Begum was a Mughal empress and chief consort of Emperor Humayun, best known for overseeing the construction of his grand mausoleum in Delhi.
  • B. Dilras Banu Begum
    Dilras Banu Begum was a 17th-century Mughal princess and the chief consort of Emperor Aurangzeb, remembered as the mother of several of his children and for the grand mausoleum Bibi Ka Maqbara built in her memory.
  • C. Maham Begum
    Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
  • D. Salima Sultan Begum
    Salima Sultan Begum was a Mughal empress and influential consort in the court of Emperor Akbar, known for her political acumen and high status within the imperial harem.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cc85a08190bc8186eb9ed1fa38 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c7391e6c8190836e8d7e7fdf9c93 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c78ba0008190bf884de7f89b4655 completed March 4, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7c89a0a188190b868b6bebd205cb0 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:39 p.m.