Triple
T14287317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasmin Khan |
E354207
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Mandip Gill |
E422392
|
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: Mandip Gill | Statement: [Yasmin Khan, portrayedBy, Mandip Gill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandip Gill Context triple: [Yasmin Khan, portrayedBy, Mandip Gill]
-
A.
Mandip Gill
chosen
Mandip Gill is a British actress best known for playing companion Yasmin Khan in the long-running science fiction series Doctor Who.
-
B.
Parminder Nagra
Parminder Nagra is a British actress best known for her breakthrough lead role in the football-themed film "Bend It Like Beckham" and for her later work in television dramas such as "ER."
-
C.
Nikita Gill
Nikita Gill is a contemporary British-Indian poet and writer known for her emotionally resonant, feminist poetry and modern retellings of myths and fairy tales.
-
D.
Karan Patel
Karan Patel is an Indian television actor best known for his role as Raman Bhalla in the popular Hindi TV series "Yeh Hai Mohabbatein."
-
E.
Maheep Kapoor
Maheep Kapoor is an Indian jewelry designer and reality television personality known for appearing on the Netflix series "Fabulous Lives of Bollywood Wives."
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd647daf448190a7a9e4ab432977c4 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:11 a.m.