Triple
T3541009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timur Shah Durrani |
E74883
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Hazrat Begum |
E378908
|
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: Hazrat Begum | Statement: [Timur Shah Durrani, mother, Hazrat Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazrat Begum Context triple: [Timur Shah Durrani, mother, Hazrat Begum]
-
A.
Hazrat Begum
chosen
Hazrat Begum was a Mughal princess who became one of the wives of Ahmad Shah Durrani, the founder of the Durrani Empire in Afghanistan.
-
B.
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.
-
C.
Khanzada Begum
Khanzada Begum was a Timurid princess and elder sister of Mughal emperor Babur, noted for her political marriages and influential role in early Mughal diplomacy.
-
D.
Lutf-un-nisa Begum
Lutf-un-nisa Begum was a Mughal-era noblewoman whose name appears in historical records of the imperial court.
-
E.
Maham Begum
Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf729000819086e4fdba9e73e198 |
completed | March 8, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4daf2b170819095a337246675e4c4 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:20 p.m.