Triple
T3407343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbar II |
E71805
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Qudsia Begum
Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
|
E374597
|
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: Qudsia Begum | Statement: [Akbar II, mother, Qudsia Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qudsia Begum Context triple: [Akbar II, mother, Qudsia Begum]
-
A.
Lutfunnisa Begum
Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
-
B.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
C.
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.
-
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.
Munny Begum
Munny Begum was a prominent consort of Nawab Mir Jafar of Bengal who wielded considerable influence in the late 18th-century Nawabi court.
- 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: Qudsia Begum Triple: [Akbar II, mother, Qudsia Begum]
Generated description
Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qudsia Begum Target entity description: Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
-
A.
Lutfunnisa Begum
Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
-
B.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
C.
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.
-
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.
Munny Begum
Munny Begum was a prominent consort of Nawab Mir Jafar of Bengal who wielded considerable influence in the late 18th-century Nawabi court.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8ede9c48190b13b0f5e7474e7fa |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44ee17d9881908af3d79b7fb0de9d |
completed | March 13, 2026, 5:52 p.m. |
| NEDg | Description generation | batch_69b44f69b03881908d8352de5e66638b |
completed | March 13, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b44ffac9748190bb58f95f859580c5 |
completed | March 13, 2026, 5:57 p.m. |
Created at: March 8, 2026, 3:15 p.m.