Machine Gun Preacher
E728167
Machine Gun Preacher is a 2011 biographical action drama film about former gang biker Sam Childers’ transformation into a missionary who rescues children in war-torn Sudan.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Machine Gun Preacher canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T8367240 — 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: Machine Gun Preacher Context triple: [Fana Mokoena, appearedIn, Machine Gun Preacher]
-
A.
Righteous Kill
Righteous Kill is a 2008 crime thriller film best known for pairing Robert De Niro and Al Pacino as veteran New York City detectives hunting a possible serial killer.
-
B.
The Gunman
The Gunman is an action thriller film best known for its intense gunplay and the involvement of prominent actors such as Ray Winstone.
-
C.
Tsotsi
Tsotsi is a 2005 South African crime drama film, directed by Gavin Hood, that follows a young Johannesburg gang leader whose life changes after he inadvertently kidnaps a baby during a carjacking.
-
D.
Machete
Machete is a 2010 action-exploitation film directed by Robert Rodriguez, featuring Danny Trejo as a former Mexican federale seeking revenge against corrupt politicians and criminals.
-
E.
Preacher
Preacher is a darkly comic supernatural drama television series based on the Vertigo comic book of the same name, following a conflicted small-town preacher who gains extraordinary powers and embarks on a violent, bizarre quest to find God.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Machine Gun Preacher Target entity description: Machine Gun Preacher is a 2011 biographical action drama film about former gang biker Sam Childers’ transformation into a missionary who rescues children in war-torn Sudan.
-
A.
Righteous Kill
Righteous Kill is a 2008 crime thriller film best known for pairing Robert De Niro and Al Pacino as veteran New York City detectives hunting a possible serial killer.
-
B.
The Gunman
The Gunman is an action thriller film best known for its intense gunplay and the involvement of prominent actors such as Ray Winstone.
-
C.
Tsotsi
Tsotsi is a 2005 South African crime drama film, directed by Gavin Hood, that follows a young Johannesburg gang leader whose life changes after he inadvertently kidnaps a baby during a carjacking.
-
D.
Machete
Machete is a 2010 action-exploitation film directed by Robert Rodriguez, featuring Danny Trejo as a former Mexican federale seeking revenge against corrupt politicians and criminals.
-
E.
Preacher
Preacher is a darkly comic supernatural drama television series based on the Vertigo comic book of the same name, following a conflicted small-town preacher who gains extraordinary powers and embarks on a violent, bizarre quest to find God.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
action drama film
ⓘ
film ⓘ |
| authorOfSourceWork |
Jason Baldwin
NERFINISHED
ⓘ
Sam Childers NERFINISHED ⓘ |
| basedOn |
Another Man’s War
NERFINISHED
ⓘ
the life of Sam Childers ⓘ |
| boxOfficeGrossWorldwide | about 3,400,000 USD ⓘ |
| character |
Donnie
NERFINISHED
ⓘ
Lynn Childers NERFINISHED ⓘ Sam Childers NERFINISHED ⓘ |
| cinematographyBy | Roberto Schaefer NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| director | Marc Forster NERFINISHED ⓘ |
| distributedBy | Relativity Media NERFINISHED ⓘ |
| editedBy | Matt Chesse NERFINISHED ⓘ |
| filmingLocation |
Michigan
NERFINISHED
ⓘ
South Africa NERFINISHED ⓘ |
| genre |
action film
ⓘ
biographical film ⓘ drama film ⓘ |
| MPAARating | R ⓘ |
| musicBy | Asche & Spencer NERFINISHED ⓘ |
| narrativeFocus | transformation of Sam Childers from criminal to missionary ⓘ |
| originalLanguage | English ⓘ |
| portrays | Sam Childers NERFINISHED ⓘ |
| portraysRealPerson | Sam Childers NERFINISHED ⓘ |
| producer |
Gary Safarian
NERFINISHED
ⓘ
Robbie Brenner NERFINISHED ⓘ |
| productionCompany |
Mpower Pictures
NERFINISHED
ⓘ
Relativity Media NERFINISHED ⓘ |
| publicationYearOfSourceWork | 2009 ⓘ |
| releaseDate | 2011-09-23 ⓘ |
| releaseYear | 2011 ⓘ |
| runtimeMinutes | 129 ⓘ |
| screenwriter | Jason Keller NERFINISHED ⓘ |
| setting |
Sudan
NERFINISHED
ⓘ
United States of America ⓘ
surface form:
United States
|
| starring |
Gerard Butler
NERFINISHED
ⓘ
Kathy Baker NERFINISHED ⓘ Madeline Carroll NERFINISHED ⓘ Michael Shannon NERFINISHED ⓘ Michelle Monaghan NERFINISHED ⓘ Souleymane Sy Savane NERFINISHED ⓘ |
| subject |
Christian missionary work
ⓘ
Lord’s Resistance Army NERFINISHED ⓘ Sudanese civil conflict ⓘ child soldiers ⓘ drug addiction recovery ⓘ religious conversion ⓘ |
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: Machine Gun Preacher Description of subject: Machine Gun Preacher is a 2011 biographical action drama film about former gang biker Sam Childers’ transformation into a missionary who rescues children in war-torn Sudan.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.