Law & Order: UK
E493846
Law & Order: UK is a British television crime drama series adapting the U.S. Law & Order format to the UK legal system, following police investigations and subsequent prosecutions in London.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Law & Order: UK canonical | 8 |
How this entity was disambiguated
This entity first appeared as the object of triple T5110325 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Law & Order: UK Context triple: [Harriet Walter, notableWork, Law & Order: UK]
-
A.
Line of Duty
Line of Duty is a British crime drama television series that follows an anti-corruption police unit investigating complex and morally ambiguous cases within the force.
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B.
Law & Order
Law & Order is a long-running American television crime and legal drama series that follows police investigations and subsequent courtroom prosecutions in New York City.
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C.
Law & Order: Special Victims Unit
Law & Order: Special Victims Unit is a long-running American crime drama television series that follows a specialized NYPD unit investigating sexually based offenses and other sensitive crimes.
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D.
Law & Order: LA
Law & Order: LA is a crime drama television series set in Los Angeles that serves as a West Coast spin-off of the long-running Law & Order franchise.
-
E.
Law & Order: Criminal Intent
Law & Order: Criminal Intent is an American police procedural television series that focuses on the psychological motives and investigative techniques used by detectives to solve complex crimes, often from the criminals’ point of view.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Law & Order: UK Target entity description: Law & Order: UK is a British television crime drama series adapting the U.S. Law & Order format to the UK legal system, following police investigations and subsequent prosecutions in London.
-
A.
Line of Duty
Line of Duty is a British crime drama television series that follows an anti-corruption police unit investigating complex and morally ambiguous cases within the force.
-
B.
Law & Order
Law & Order is a long-running American television crime and legal drama series that follows police investigations and subsequent courtroom prosecutions in New York City.
-
C.
Law & Order: Special Victims Unit
Law & Order: Special Victims Unit is a long-running American crime drama television series that follows a specialized NYPD unit investigating sexually based offenses and other sensitive crimes.
-
D.
Law & Order: LA
Law & Order: LA is a crime drama television series set in Los Angeles that serves as a West Coast spin-off of the long-running Law & Order franchise.
-
E.
Law & Order: Criminal Intent
Law & Order: Criminal Intent is an American police procedural television series that focuses on the psychological motives and investigative techniques used by detectives to solve complex crimes, often from the criminals’ point of view.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf | television series ⓘ |
| adaptationOf | U.S. Law & Order format ⓘ |
| basedOn | Law & Order NERFINISHED ⓘ |
| broadcastOn |
ITV
NERFINISHED
ⓘ
ITV1 NERFINISHED ⓘ |
| character |
CPS Director George Castle
NERFINISHED
ⓘ
CPS prosecutor Alesha Phillips NERFINISHED ⓘ CPS prosecutor James Steel NERFINISHED ⓘ DI Natalie Chandler NERFINISHED ⓘ DS Matt Devlin NERFINISHED ⓘ DS Ronnie Brooks NERFINISHED ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| countryOfSetting | United Kingdom NERFINISHED ⓘ |
| creator | Dick Wolf NERFINISHED ⓘ |
| depicts |
Crown Prosecution Service
NERFINISHED
ⓘ
Metropolitan Police Service NERFINISHED ⓘ |
| developer | Chris Chibnall NERFINISHED ⓘ |
| distributor | NBCUniversal Global Distribution NERFINISHED ⓘ |
| firstAired | 2009 ⓘ |
| follows |
criminal prosecutions
ⓘ
police investigations ⓘ |
| format | each episode split between police and legal proceedings ⓘ |
| genre |
crime drama
ⓘ
legal drama ⓘ police procedural ⓘ |
| lastAired | 2014 ⓘ |
| locationOfSetting | London NERFINISHED ⓘ |
| numberOfEpisodes | 53 ⓘ |
| numberOfSeries | 8 ⓘ |
| originalLanguage | English ⓘ |
| originalNetwork |
ITV
NERFINISHED
ⓘ
ITV1 NERFINISHED ⓘ |
| partOfFranchise | Law & Order franchise NERFINISHED ⓘ |
| productionCompany |
Kudos Film and Television
NERFINISHED
ⓘ
NBC Universal NERFINISHED ⓘ Wolf Films NERFINISHED ⓘ |
| stars |
Ben Daniels
NERFINISHED
ⓘ
Bill Paterson NERFINISHED ⓘ Bradley Walsh NERFINISHED ⓘ Dominic Rowan NERFINISHED ⓘ Freema Agyeman NERFINISHED ⓘ Georgia Taylor NERFINISHED ⓘ Harriet Walter NERFINISHED ⓘ Jamie Bamber NERFINISHED ⓘ Paterson Joseph NERFINISHED ⓘ Paul Nicholls NERFINISHED ⓘ Peter Davison NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Law & Order: UK Description of subject: Law & Order: UK is a British television crime drama series adapting the U.S. Law & Order format to the UK legal system, following police investigations and subsequent prosecutions in London.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.