Triple
T13667561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizen Khan |
E327660
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Maya Sondhi
Maya Sondhi is a British actress and writer known for her roles in television comedies and dramas, including the BBC sitcom Citizen Khan and the crime series Line of Duty.
|
E1052684
|
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: Maya Sondhi | Statement: [Citizen Khan, starring, Maya Sondhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Sondhi Context triple: [Citizen Khan, starring, Maya Sondhi]
-
A.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
B.
Anjana Patel
Anjana Patel is a member of a specific subgroup within the broader Patel community, traditionally associated with agrarian and mercantile occupations in India.
-
C.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
D.
Maya Bhaskar
Maya Bhaskar is the daughter of British comedian, writer, and actress Meera Syal.
-
E.
Sukanya Rajan
Sukanya Rajan is the widow of legendary Indian sitar virtuoso Ravi Shankar and the mother of musician Anoushka Shankar.
- 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: Maya Sondhi Triple: [Citizen Khan, starring, Maya Sondhi]
Generated description
Maya Sondhi is a British actress and writer known for her roles in television comedies and dramas, including the BBC sitcom Citizen Khan and the crime series Line of Duty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maya Sondhi Target entity description: Maya Sondhi is a British actress and writer known for her roles in television comedies and dramas, including the BBC sitcom Citizen Khan and the crime series Line of Duty.
-
A.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
B.
Anjana Patel
Anjana Patel is a member of a specific subgroup within the broader Patel community, traditionally associated with agrarian and mercantile occupations in India.
-
C.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
D.
Maya Bhaskar
Maya Bhaskar is the daughter of British comedian, writer, and actress Meera Syal.
-
E.
Sukanya Rajan
Sukanya Rajan is the widow of legendary Indian sitar virtuoso Ravi Shankar and the mother of musician Anoushka Shankar.
- 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.