Triple

T14379888
Position Surface form Disambiguated ID Type / Status
Subject Mir Qamar-ud-Din Khan E356571 entity
Predicate spouse P13 FINISHED
Object Sayed-UnNissa Begum
Sayed-UnNissa Begum was a noblewoman of the early 18th-century Deccan court, known primarily as the wife of Mir Qamar-ud-Din Khan, the first Nizam of Hyderabad.
 E1097789 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: Sayed-UnNissa Begum | Statement: [Mir Qamar-ud-Din Khan, spouse, Sayed-UnNissa Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sayed-UnNissa Begum
Context triple: [Mir Qamar-ud-Din Khan, spouse, Sayed-UnNissa Begum]
  • A. Maryam Begum
    Maryam Begum was a Safavid royal woman best known as the mother of Shah Sultan Husayn, the last Safavid ruler of Iran.
  • B. Lutfunnisa Begum
    Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • C. Qudsia Begum
    Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
  • D. Azam Unnisa Begum
    Azam Unnisa Begum was a royal consort of the last Nizam of Hyderabad, Mir Osman Ali Khan.
  • E. Wafa Begum
    Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • 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: Sayed-UnNissa Begum
Triple: [Mir Qamar-ud-Din Khan, spouse, Sayed-UnNissa Begum]
Generated description
Sayed-UnNissa Begum was a noblewoman of the early 18th-century Deccan court, known primarily as the wife of Mir Qamar-ud-Din Khan, the first Nizam of Hyderabad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sayed-UnNissa Begum
Target entity description: Sayed-UnNissa Begum was a noblewoman of the early 18th-century Deccan court, known primarily as the wife of Mir Qamar-ud-Din Khan, the first Nizam of Hyderabad.
  • A. Maryam Begum
    Maryam Begum was a Safavid royal woman best known as the mother of Shah Sultan Husayn, the last Safavid ruler of Iran.
  • B. Lutfunnisa Begum
    Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • C. Qudsia Begum
    Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
  • D. Azam Unnisa Begum
    Azam Unnisa Begum was a royal consort of the last Nizam of Hyderabad, Mir Osman Ali Khan.
  • E. Wafa Begum
    Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd575167e48190a7a014ba80433b9d completed May 8, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a6711881909429bba35ee867c6 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:16 a.m.