Triple
T13667555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizen Khan |
E327660
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Adil Ray
Adil Ray is a British actor, comedian, and broadcaster best known for creating and starring in the BBC sitcom "Citizen Khan."
|
E1052681
|
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: Adil Ray | Statement: [Citizen Khan, creator, Adil Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adil Ray Context triple: [Citizen Khan, creator, Adil Ray]
-
A.
Satish Alekar
Satish Alekar is a prominent Indian playwright, actor, and director known for his innovative and influential contributions to modern Marathi theatre.
-
B.
Ashok Saraf
Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
-
C.
Suresh Ayyar
Suresh Ayyar is an editor known for his work on the acclaimed Australian memoir "Romulus, My Father."
-
D.
Jadu Akhtar
Jadu Akhtar is the birth name of Javed Akhtar, the renowned Indian poet, lyricist, and screenwriter.
-
E.
Farhad Anklesaria
Farhad Anklesaria is a software engineer best known as one of the principal developers of the Gopher internet protocol and early distributed information systems.
- 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: Adil Ray Triple: [Citizen Khan, creator, Adil Ray]
Generated description
Adil Ray is a British actor, comedian, and broadcaster best known for creating and starring in the BBC sitcom "Citizen Khan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adil Ray Target entity description: Adil Ray is a British actor, comedian, and broadcaster best known for creating and starring in the BBC sitcom "Citizen Khan."
-
A.
Satish Alekar
Satish Alekar is a prominent Indian playwright, actor, and director known for his innovative and influential contributions to modern Marathi theatre.
-
B.
Ashok Saraf
Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
-
C.
Suresh Ayyar
Suresh Ayyar is an editor known for his work on the acclaimed Australian memoir "Romulus, My Father."
-
D.
Jadu Akhtar
Jadu Akhtar is the birth name of Javed Akhtar, the renowned Indian poet, lyricist, and screenwriter.
-
E.
Farhad Anklesaria
Farhad Anklesaria is a software engineer best known as one of the principal developers of the Gopher internet protocol and early distributed information systems.
- 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_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78bd727048190a57a75294a9ab53d |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:52 p.m.