Triple
T13460766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khawaja Ghulam Farid |
E311357
|
entity |
| Predicate | honorificPrefix |
P536
|
FINISHED |
| Object | Khawaja |
E476795
|
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: Khawaja | Statement: [Khawaja Ghulam Farid, honorificPrefix, Khawaja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khawaja Context triple: [Khawaja Ghulam Farid, honorificPrefix, Khawaja]
-
A.
Khawaja
chosen
Khawaja is a South Asian honorific and given name commonly associated with Muslim men, particularly in regions such as Pakistan, India, and Bangladesh.
-
B.
Qais Khan
Qais Khan is an actor known for his role in the television series "Tehran."
-
C.
Khurram
Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
-
D.
Khattak
Khattak is a prominent Pashtun tribe of the Karlani confederation, historically known for its warriors, poets, and strategic location in what is now northwestern Pakistan.
-
E.
Mohammed Aamir Hussain Khan
Mohammed Aamir Hussain Khan, better known as Aamir Khan, is a highly acclaimed Indian film actor, producer, and director renowned for his influential roles and socially conscious, commercially successful movies in Bollywood.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0c177081909178dec61b09c278 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a2c75c819093765eb9d0d2377e |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.