Last Orders
E566009
Last Orders is a 2001 British drama film, adapted from Graham Swift’s Booker Prize–winning novel, that follows four friends on a poignant road trip to fulfill a deceased companion’s final wish.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Last Orders canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T6080475 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Last Orders Context triple: [Fred Schepisi, notableWork, Last Orders]
-
A.
The Limey
The Limey is a 1999 neo-noir crime film directed by Steven Soderbergh, starring Terence Stamp as a vengeful ex-con seeking justice for his daughter's death in Los Angeles.
-
B.
The Ladykillers
The Ladykillers is a 2004 dark comedy crime film by the Coen brothers, starring Tom Hanks as the leader of a gang whose heist scheme unravels in the home of an unsuspecting elderly landlady.
-
C.
Four Weddings and a Funeral
Four Weddings and a Funeral is a 1994 British romantic comedy film starring Hugh Grant that follows a group of friends through a series of social gatherings, blending witty humor with heartfelt romance.
-
D.
The Crying Game
The Crying Game is a 1992 British psychological thriller and romantic drama film known for its exploration of identity, loyalty, and sexuality, as well as its famous plot twist.
-
E.
The Cook, the Thief, His Wife & Her Lover
The Cook, the Thief, His Wife & Her Lover is a 1989 British-French art-house crime drama film directed by Peter Greenaway, renowned for its stylized visuals, provocative themes, and intense performances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Last Orders Target entity description: Last Orders is a 2001 British drama film, adapted from Graham Swift’s Booker Prize–winning novel, that follows four friends on a poignant road trip to fulfill a deceased companion’s final wish.
-
A.
The Limey
The Limey is a 1999 neo-noir crime film directed by Steven Soderbergh, starring Terence Stamp as a vengeful ex-con seeking justice for his daughter's death in Los Angeles.
-
B.
The Ladykillers
The Ladykillers is a 2004 dark comedy crime film by the Coen brothers, starring Tom Hanks as the leader of a gang whose heist scheme unravels in the home of an unsuspecting elderly landlady.
-
C.
Four Weddings and a Funeral
Four Weddings and a Funeral is a 1994 British romantic comedy film starring Hugh Grant that follows a group of friends through a series of social gatherings, blending witty humor with heartfelt romance.
-
D.
The Crying Game
The Crying Game is a 1992 British psychological thriller and romantic drama film known for its exploration of identity, loyalty, and sexuality, as well as its famous plot twist.
-
E.
The Cook, the Thief, His Wife & Her Lover
The Cook, the Thief, His Wife & Her Lover is a 1989 British-French art-house crime drama film directed by Peter Greenaway, renowned for its stylized visuals, provocative themes, and intense performances.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
British drama film
ⓘ
film ⓘ |
| author | Graham Swift NERFINISHED ⓘ |
| awardReceived | Booker Prize NERFINISHED ⓘ |
| basedOn | Last Orders (novel) NERFINISHED ⓘ |
| castMember |
Bob Hoskins
NERFINISHED
ⓘ
David Hemmings NERFINISHED ⓘ Helen Mirren NERFINISHED ⓘ J. J. Feild NERFINISHED ⓘ Kelly Reilly NERFINISHED ⓘ Michael Caine NERFINISHED ⓘ Ray Winstone NERFINISHED ⓘ Tom Courtenay NERFINISHED ⓘ |
| cinematography | Brian Tufano NERFINISHED ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| director | Fred Schepisi NERFINISHED ⓘ |
| distributor | Sony Pictures Classics NERFINISHED ⓘ |
| editedBy | Kate Williams NERFINISHED ⓘ |
| filmingLocation |
Kent
NERFINISHED
ⓘ
London, England ⓘ
surface form:
London
|
| follows | four friends on a road trip to fulfill a deceased companion’s final wish ⓘ |
| genre |
drama film
ⓘ
road movie ⓘ |
| hasSetting | pub culture in England ⓘ |
| hasType | feature film ⓘ |
| mainSubject |
death
ⓘ
friendship ⓘ grief ⓘ memory ⓘ |
| motionPictureRating | R (MPAA) NERFINISHED ⓘ |
| musicBy | Paul Grabowsky NERFINISHED ⓘ |
| narrativeLocation |
Kent
NERFINISHED
ⓘ
London NERFINISHED ⓘ |
| nominatedFor | Golden Bear NERFINISHED ⓘ |
| originalLanguage | English ⓘ |
| participantIn | 51st Berlin International Film Festival NERFINISHED ⓘ |
| producer |
Elisabeth Robinson
NERFINISHED
ⓘ
Fred Schepisi NERFINISHED ⓘ |
| publicationDate | 2001 ⓘ |
| releaseDate | 2001-12-28 ⓘ |
| runtime | 109 minutes ⓘ |
| screenwriter | Fred Schepisi NERFINISHED ⓘ |
| title | Last Orders 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.
Instruction
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.
Input
Subject: Last Orders Description of subject: Last Orders is a 2001 British drama film, adapted from Graham Swift’s Booker Prize–winning novel, that follows four friends on a poignant road trip to fulfill a deceased companion’s final wish.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Tom Courtenay