Triple
T11277621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tipu Sultan |
E266975
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Fatima Begum
Fatima Begum was a consort of Tipu Sultan, the 18th-century ruler of the Kingdom of Mysore in southern India.
|
E918622
|
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: Fatima Begum | Statement: [Tipu Sultan, spouse, Fatima Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatima Begum Context triple: [Tipu Sultan, spouse, Fatima Begum]
-
A.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
B.
Fatima Sultan Agha
Fatima Sultan Agha was a Timurid noblewoman known as the consort of Umar Sheikh Mirza II and a member of the wider Timurid royal household.
-
C.
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.
-
D.
Mahlara Begum
Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
-
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: Fatima Begum Triple: [Tipu Sultan, spouse, Fatima Begum]
Generated description
Fatima Begum was a consort of Tipu Sultan, the 18th-century ruler of the Kingdom of Mysore in southern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fatima Begum Target entity description: Fatima Begum was a consort of Tipu Sultan, the 18th-century ruler of the Kingdom of Mysore in southern India.
-
A.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
B.
Fatima Sultan Agha
Fatima Sultan Agha was a Timurid noblewoman known as the consort of Umar Sheikh Mirza II and a member of the wider Timurid royal household.
-
C.
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.
-
D.
Mahlara Begum
Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
-
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
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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e967ebb4819080b09ed3cec44e77 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5258cc5208190be268ac6a82c9419 |
completed | April 19, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69e52c81449c8190847b64fa91a45b2e |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5319b6ef0819096debabfb6ffbe70 |
completed | April 19, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:31 p.m.