Triple
T21684642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sher-e-Bangla A. K. Fazlul Huq |
E535197
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Khurshid Begum
Khurshid Begum was the wife of prominent Bengali statesman and former Prime Minister of Bengal, Sher-e-Bangla A. K. Fazlul Huq.
|
E1497157
|
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: Khurshid Begum | Statement: [Sher-e-Bangla A. K. Fazlul Huq, spouse, Khurshid Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khurshid Begum Context triple: [Sher-e-Bangla A. K. Fazlul Huq, spouse, Khurshid Begum]
-
A.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
B.
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.
-
C.
Mahlara Begum
Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
-
D.
Nithar Begum
Nithar Begum was a Mughal princess, the daughter of Emperor Jahangir, known for her elaborately decorated tomb in the historic Khusro Bagh complex at Prayagraj, India.
-
E.
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.
- 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: Khurshid Begum Triple: [Sher-e-Bangla A. K. Fazlul Huq, spouse, Khurshid Begum]
Generated description
Khurshid Begum was the wife of prominent Bengali statesman and former Prime Minister of Bengal, Sher-e-Bangla A. K. Fazlul Huq.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khurshid Begum Target entity description: Khurshid Begum was the wife of prominent Bengali statesman and former Prime Minister of Bengal, Sher-e-Bangla A. K. Fazlul Huq.
-
A.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
B.
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.
-
C.
Mahlara Begum
Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
-
D.
Nithar Begum
Nithar Begum was a Mughal princess, the daughter of Emperor Jahangir, known for her elaborately decorated tomb in the historic Khusro Bagh complex at Prayagraj, India.
-
E.
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.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ca668481909f53853c7a8ea811 |
completed | April 27, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e1ec8f881909fe66005ff445760 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1ee2662c8190887c9fd2073fcd12 |
completed | May 17, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fb328e081908b39b4c85cb23d1e |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:44 p.m.