Triple

T3655083
Position Surface form Disambiguated ID Type / Status
Subject Hamida Banu Begum E77508 entity
Predicate predecessorAsChiefImperialLady P50736 FINISHED
Object Bega Begum
Bega Begum was a prominent Mughal empress and chief consort of Emperor Humayun, best known for commissioning his grand mausoleum in Delhi.
E86202 NE FINISHED

How this triple was built (5 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: Bega Begum | Statement: [Hamida Banu Begum, predecessorAsChiefImperialLady, Bega Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bega Begum
Context triple: [Hamida Banu Begum, predecessorAsChiefImperialLady, Bega Begum]
  • A. Mahlara Begum
    Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
  • B. Umid Bega Begum
    Umid Bega Begum was a Timurid noblewoman known primarily as a wife of Umar Sheikh Mirza II and thus a member of the Mughal imperial family’s ancestral lineage.
  • C. Dildar Begum
    Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
  • D. 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.
  • E. Rifa’at Begum
    Rifa’at Begum was the wife of Iskander Mirza, the first President of Pakistan, and thus served as Pakistan’s First Lady during his tenure.
  • 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: Bega Begum
Triple: [Hamida Banu Begum, predecessorAsChiefImperialLady, Bega Begum]
Generated description
Bega Begum was a prominent Mughal empress and chief consort of Emperor Humayun, best known for commissioning his grand mausoleum in Delhi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bega Begum
Target entity description: Bega Begum was a prominent Mughal empress and chief consort of Emperor Humayun, best known for commissioning his grand mausoleum in Delhi.
  • A. Mahlara Begum
    Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
  • B. Umid Bega Begum
    Umid Bega Begum was a Timurid noblewoman known primarily as a wife of Umar Sheikh Mirza II and thus a member of the Mughal imperial family’s ancestral lineage.
  • C. Dildar Begum
    Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
  • D. Haji Begum chosen
    Haji Begum was a Mughal empress and chief consort of Emperor Humayun, best known for overseeing the construction of his grand mausoleum in Delhi.
  • E. Rifa’at Begum
    Rifa’at Begum was the wife of Iskander Mirza, the first President of Pakistan, and thus served as Pakistan’s First Lady during his tenure.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorAsChiefImperialLady
Context triple: [Hamida Banu Begum, predecessorAsChiefImperialLady, Bega Begum]
  • A. predecessorAsEmpressConsort
    Indicates that one empress consort held the position immediately before another empress consort in a succession.
  • B. successorAsEmpress
    Indicates that one person became the next empress following another, directly succeeding her in that imperial role.
  • C. predecessorAsTsaritsa
    Indicates that one entity previously held the position of tsaritsa immediately before the other entity.
  • D. predecessorAsPrincessRoyal
    Indicates that one entity previously held the title or position of Princess Royal immediately before the other entity.
  • E. predecessorAsQueenConsort
    Indicates that one queen consort held the position immediately before another queen consort in a royal succession.
  • F. None of above. chosen

Provenance (7 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3baf57c8190b72b5d1b910d9db6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fafdfe108190a808364578d5edd1 completed March 14, 2026, 6:06 a.m.
NEDg Description generation batch_69b4fc2c5e9c8190b28250762fe1477d completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fcc395ec8190a781e982b935c2f6 completed March 14, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69adb84650148190bf79231105e58d7f completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adbae14d488190a6024548979c6faf completed March 8, 2026, 6:07 p.m.
Created at: March 8, 2026, 3:24 p.m.