Triple
T13667566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizen Khan |
E327660
|
entity |
| Predicate | characterFocus |
P31
|
FINISHED |
| Object |
Mr Khan
Mr Khan is the blustering, self-appointed community leader and comically overconfident patriarch at the center of the British sitcom "Citizen Khan."
|
E1055069
|
NE FINISHED |
How this triple was built (4 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: Mr Khan | Statement: [Citizen Khan, characterFocus, Mr Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr Khan Context triple: [Citizen Khan, characterFocus, Mr Khan]
-
A.
Khan
Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
-
B.
Kamal Khan
Kamal Khan is the primary villain and exiled Afghan prince in the James Bond film "Octopussy," known for his role in a nuclear extortion plot against the West.
-
C.
M. S. Khan
M. S. Khan was a prominent leader and figure in the 1946 Royal Indian Navy mutiny against British colonial rule.
-
D.
Sajid
Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
-
E.
Aryan Khan
Aryan Khan is an Indian star kid and aspiring filmmaker best known as the son of Bollywood superstar Shah Rukh Khan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr Khan Triple: [Citizen Khan, characterFocus, Mr Khan]
Generated description
Mr Khan is the blustering, self-appointed community leader and comically overconfident patriarch at the center of the British sitcom "Citizen Khan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr Khan Target entity description: Mr Khan is the blustering, self-appointed community leader and comically overconfident patriarch at the center of the British sitcom "Citizen Khan."
-
A.
Khan
Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
-
B.
Kamal Khan
Kamal Khan is the primary villain and exiled Afghan prince in the James Bond film "Octopussy," known for his role in a nuclear extortion plot against the West.
-
C.
M. S. Khan
M. S. Khan was a prominent leader and figure in the 1946 Royal Indian Navy mutiny against British colonial rule.
-
D.
Sajid
Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
-
E.
Aryan Khan
Aryan Khan is an Indian star kid and aspiring filmmaker best known as the son of Bollywood superstar Shah Rukh Khan.
- F. None of above. chosen
Provenance (5 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943bfaf0819097410e901847d77c |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79655d5f08190a3cbf3e12e2ffa67 |
completed | May 3, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7972a1cf48190a1d435227414967a |
completed | May 3, 2026, 6:42 p.m. |
Created at: April 9, 2026, 9:52 p.m.