Triple
T17223759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raja Zulqarnain Khan |
E418056
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Raja Zulqarnain Khan |
E418056
|
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: Raja Zulqarnain Khan | Statement: [Raja Zulqarnain Khan, name, Raja Zulqarnain Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raja Zulqarnain Khan Context triple: [Raja Zulqarnain Khan, name, Raja Zulqarnain Khan]
-
A.
Raja Zulqarnain Khan
chosen
Raja Zulqarnain Khan is a Pakistani politician who served as the President of Azad Jammu and Kashmir.
-
B.
Taimur Ali Khan
Taimur Ali Khan is a widely recognized Indian star kid, known as the son of Bollywood actors Kareena Kapoor Khan and Saif Ali Khan.
-
C.
Ali Mardan Khan
Ali Mardan Khan was a prominent 17th-century Mughal noble, engineer, and architect renowned for designing major imperial works, including monumental gardens, canals, and tomb complexes.
-
D.
Sikandar Jah
Sikandar Jah was the third Nizam of Hyderabad, a powerful 18th–19th century Indian ruler from the Asaf Jahi dynasty.
-
E.
Sultan Ahmad Khan
Sultan Ahmad Khan was a Central Asian Timurid-era prince from the royal lineage associated with the Chagatai Khanate.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddfe3bc8190b22cee4fc0590b74 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167596ab481909df59ce68c7f640e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.