Heaven Knows, Mr. Allison
E879223
Heaven Knows, Mr. Allison is a 1957 World War II drama film about a U.S. Marine and a nun stranded together on a Pacific island, noted for its intimate character study and the performances of Robert Mitchum and Deborah Kerr.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Heaven Knows, Mr. Allison canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10689519 — 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: Heaven Knows, Mr. Allison Context triple: [Robert Mitchum, notableWork, Heaven Knows, Mr. Allison]
-
A.
Some Came Running
Some Came Running is a 1958 American drama film, based on James Jones's novel, starring Frank Sinatra, Dean Martin, and Shirley MacLaine in a story of a war veteran's troubled return to small-town life.
-
B.
Everybody Knows
"Everybody Knows" is a dark, brooding song by Leonard Cohen, known for its cynical commentary on societal decay and human relationships.
-
C.
Heaven Knows
"Heaven Knows" is a song featured on Lenny Kravitz's album *Blue Electric Light*.
-
D.
Dodsworth
Dodsworth is a 1936 drama film, based on Sinclair Lewis's novel, that explores the disintegration of a wealthy American couple's marriage during a European trip.
-
E.
Odds Against Tomorrow
Odds Against Tomorrow is a 1959 American film noir crime drama notable for its exploration of racial tension and its starring role by Harry Belafonte.
- 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: Heaven Knows, Mr. Allison Target entity description: Heaven Knows, Mr. Allison is a 1957 World War II drama film about a U.S. Marine and a nun stranded together on a Pacific island, noted for its intimate character study and the performances of Robert Mitchum and Deborah Kerr.
-
A.
Some Came Running
Some Came Running is a 1958 American drama film, based on James Jones's novel, starring Frank Sinatra, Dean Martin, and Shirley MacLaine in a story of a war veteran's troubled return to small-town life.
-
B.
Everybody Knows
"Everybody Knows" is a dark, brooding song by Leonard Cohen, known for its cynical commentary on societal decay and human relationships.
-
C.
Heaven Knows
"Heaven Knows" is a song featured on Lenny Kravitz's album *Blue Electric Light*.
-
D.
Dodsworth
Dodsworth is a 1936 drama film, based on Sinclair Lewis's novel, that explores the disintegration of a wealthy American couple's marriage during a European trip.
-
E.
Odds Against Tomorrow
Odds Against Tomorrow is a 1959 American film noir crime drama notable for its exploration of racial tension and its starring role by Harry Belafonte.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf | film ⓘ |
| aspectRatio | CinemaScope NERFINISHED ⓘ |
| authorOfSourceWork | Charles Shaw NERFINISHED ⓘ |
| basedOn | Heaven Knows, Mr. Allison (novel) NERFINISHED ⓘ |
| cinematographyBy | Oswald Morris NERFINISHED ⓘ |
| classification | American war drama film ⓘ |
| containsElement | Japanese occupation forces ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| director | John Huston NERFINISHED ⓘ |
| distributor | 20th Century Fox NERFINISHED ⓘ |
| editedBy | Russell Lloyd NERFINISHED ⓘ |
| featuresPerformanceBy |
Deborah Kerr
NERFINISHED
ⓘ
Robert Mitchum NERFINISHED ⓘ |
| filmingLocation | Trinidad and Tobago NERFINISHED ⓘ |
| genre |
romantic drama
ⓘ
war drama ⓘ |
| hasReligiousElement | Catholicism ⓘ |
| leadCharacter |
Cpl. Allison
NERFINISHED
ⓘ
Sister Angela NERFINISHED ⓘ |
| medium | theatrical feature film ⓘ |
| musicBy | Georges Auric NERFINISHED ⓘ |
| narrativeLocation | Pacific island ⓘ |
| nominatedFor |
Academy Award for Best Actress
ⓘ
Academy Award for Best Adapted Screenplay ⓘ |
| notableFor |
intimate character study
ⓘ
on-screen chemistry between leads ⓘ |
| originalLanguage | English ⓘ |
| portrays |
Catholic nun
ⓘ
U.S. Marine NERFINISHED ⓘ |
| producer | Buddy Adler NERFINISHED ⓘ |
| productionCompany | 20th Century Fox NERFINISHED ⓘ |
| publicationDate | 1957 ⓘ |
| releaseDecade | 1950s ⓘ |
| releaseFormat | black-and-white film ⓘ |
| releaseYear | 1957 ⓘ |
| runtime | approximately 108 minutes ⓘ |
| screenwriter |
John Huston
NERFINISHED
ⓘ
John Lee Mahin NERFINISHED ⓘ |
| setDuring | Pacific War NERFINISHED ⓘ |
| setInPeriod | World War II ⓘ |
| starring |
Deborah Kerr
NERFINISHED
ⓘ
Robert Mitchum NERFINISHED ⓘ |
| theme |
companionship
ⓘ
faith ⓘ survival ⓘ |
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: Heaven Knows, Mr. Allison Description of subject: Heaven Knows, Mr. Allison is a 1957 World War II drama film about a U.S. Marine and a nun stranded together on a Pacific island, noted for its intimate character study and the performances of Robert Mitchum and Deborah Kerr.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.