Triple
T14005081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arjumand Banu Begum |
E336925
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Prince Khurram |
E340934
|
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: Prince Khurram | Statement: [Arjumand Banu Begum, spouse, Prince Khurram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Khurram Context triple: [Arjumand Banu Begum, spouse, Prince Khurram]
-
A.
Prince Khurram
chosen
Prince Khurram, later known as the Mughal emperor Shah Jahan, was a 17th-century ruler of the Mughal Empire famed for commissioning the Taj Mahal.
-
B.
Muhammad Khan Bangash
Muhammad Khan Bangash was an 18th-century Pashtun military leader and Mughal noble who rose to prominence as a powerful regional ruler in northern India.
-
C.
Raja Zulqarnain Khan
Raja Zulqarnain Khan is a Pakistani politician who served as the President of Azad Jammu and Kashmir.
-
D.
Sultan Daniyal Mirza
Sultan Daniyal Mirza was a Mughal prince, the third son of Emperor Akbar, known for his military campaigns in the Deccan and his ultimately tragic early death.
-
E.
Fazal Shah
Fazal Shah was a Punjabi poet renowned for his romantic narrative poetry, particularly his celebrated retellings of classic love legends.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed1d2548190bb46d6b7cba4ffde |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb652305c81908ea097d4f36a05c0 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.