Triple
T8379616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umrao Begum |
E197656
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Umrao Begum |
E197656
|
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: Umrao Begum | Statement: [Umrao Begum, name, Umrao Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umrao Begum Context triple: [Umrao Begum, name, Umrao Begum]
-
A.
Umrao Begum
chosen
Umrao Begum was the wife of renowned Urdu and Persian poet Mirza Ghalib and a member of an aristocratic Mughal-era family in Delhi.
-
B.
Arjumand Banu Begum
Arjumand Banu Begum, better known by her title Mumtaz Mahal, was a Mughal empress whose death inspired her husband Shah Jahan to commission the Taj Mahal as her mausoleum.
-
C.
Nadira Banu Begum
Nadira Banu Begum was a Mughal princess and consort of Prince Dara Shikoh, noted for her noble lineage and loyalty during the Mughal War of Succession.
-
D.
Diwanji Begum
Diwanji Begum was a Mughal noblewoman best known as the mother of Mumtaz Mahal, the empress for whom the Taj Mahal was built.
-
E.
Jahanara Begum
Jahanara Begum was a prominent Mughal princess known for her political influence, patronage of architecture and Sufism, and her close advisory role at the imperial court.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c3dc1881908081c6a2829deb5a |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02b4d840819090a0eaadaff9c9f9 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6:02 p.m.