Triple
T15781510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noor Jahan |
E382627
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Asmat Begum |
E444652
|
NE FINISHED |
How this triple was built (2 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: Asmat Begum | Statement: [Noor Jahan, mother, Asmat Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asmat Begum Context triple: [Noor Jahan, mother, Asmat Begum]
-
A.
Asmat Begum
chosen
Asmat Begum was a Mughal noblewoman and relative of Empress Nur Jahan, remembered primarily for her association with the imperial family and her burial in the famed Itmad-ud-Daulah's Tomb in Agra.
-
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.
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.
-
D.
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.
-
E.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a2476c8190a153fb47cb4e7708 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.