Dark Star (1974 film)
E486722
Dark Star (1974 film) is a low-budget 1974 science fiction comedy directed and co-written by John Carpenter, following a group of bored astronauts on a long-term mission to destroy unstable planets.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dark Star (1974 film) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5019348 — 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: Dark Star (1974 film) Context triple: [John Carpenter films, hasWork, Dark Star (1974 film)]
-
A.
Dark Star
"Dark Star" is an iconic, improvisation-heavy psychedelic rock song by the Grateful Dead that became a centerpiece of their live performances.
-
B.
Dark Star Trilogy
Dark Star Trilogy is an epic fantasy series by Jamaican author Marlon James that blends African mythology, political intrigue, and literary experimentation.
-
C.
Capricorn One
Capricorn One is a 1978 conspiracy thriller film about a faked Mars landing, directed by Peter Hyams and known for its suspenseful plot and commentary on government deception.
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D.
THX 1138
THX 1138 is a dystopian science fiction film set in a sterile, totalitarian future where citizens are controlled through drugs and surveillance.
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E.
Space Seed
Space Seed is a classic Star Trek: The Original Series episode that introduces the genetically engineered tyrant Khan Noonien Singh, later central to the film Star Trek II: The Wrath of Khan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Dark Star (1974 film) Target entity description: Dark Star (1974 film) is a low-budget 1974 science fiction comedy directed and co-written by John Carpenter, following a group of bored astronauts on a long-term mission to destroy unstable planets.
-
A.
Dark Star
"Dark Star" is an iconic, improvisation-heavy psychedelic rock song by the Grateful Dead that became a centerpiece of their live performances.
-
B.
Dark Star Trilogy
Dark Star Trilogy is an epic fantasy series by Jamaican author Marlon James that blends African mythology, political intrigue, and literary experimentation.
-
C.
Capricorn One
Capricorn One is a 1978 conspiracy thriller film about a faked Mars landing, directed by Peter Hyams and known for its suspenseful plot and commentary on government deception.
-
D.
THX 1138
THX 1138 is a dystopian science fiction film set in a sterile, totalitarian future where citizens are controlled through drugs and surveillance.
-
E.
Space Seed
Space Seed is a classic Star Trek: The Original Series episode that introduces the genetically engineered tyrant Khan Noonien Singh, later central to the film Star Trek II: The Wrath of Khan.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
comedy film
ⓘ
cult film ⓘ film ⓘ independent film ⓘ science fiction film ⓘ |
| basedOn | Dark Star (1970 student film) NERFINISHED ⓘ |
| budget | low-budget ⓘ |
| castMember |
Brian Narelle
NERFINISHED
ⓘ
Cal Kuniholm NERFINISHED ⓘ Dan O'Bannon NERFINISHED ⓘ Dre Pahich NERFINISHED ⓘ |
| character |
Lt. Doolittle
NERFINISHED
ⓘ
Sgt. Pinback NERFINISHED ⓘ |
| cinematographyBy | Douglas Knapp NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| coWriter |
Dan O'Bannon
NERFINISHED
ⓘ
John Carpenter NERFINISHED ⓘ |
| developedFrom | USC student film project ⓘ |
| director | John Carpenter NERFINISHED ⓘ |
| distributor | Bryanston Distributing Company NERFINISHED ⓘ |
| editor |
Dan O'Bannon
NERFINISHED
ⓘ
John Carpenter NERFINISHED ⓘ |
| era | 1970s American cinema ⓘ |
| filmRating | PG ⓘ |
| format | color ⓘ |
| genre |
comedy
ⓘ
science fiction ⓘ |
| hasCultFollowing | true ⓘ |
| hasTheme |
boredom in deep space
ⓘ
existentialism ⓘ satire of bureaucratic space missions ⓘ |
| influenced | Alien (1979 film) NERFINISHED ⓘ |
| leadActor | Brian Narelle NERFINISHED ⓘ |
| musicBy | John Carpenter NERFINISHED ⓘ |
| notableElement |
philosophical conversation about phenomenology with a bomb
ⓘ
talking intelligent bomb ⓘ |
| originalLanguage | English ⓘ |
| plotSummary | follows a group of astronauts on a long-term mission to destroy unstable planets ⓘ |
| posterTagline | "The spaced-out odyssey" NERFINISHED ⓘ |
| producer | Jack H. Harris NERFINISHED ⓘ |
| productionCompany | Jack H. Harris Enterprises NERFINISHED ⓘ |
| releaseYear | 1974 ⓘ |
| runningTime | 83 minutes ⓘ |
| screenDebutOf |
Dan O'Bannon (feature writing and acting)
NERFINISHED
ⓘ
John Carpenter (feature directing) NERFINISHED ⓘ |
| screenwriter |
Dan O'Bannon
NERFINISHED
ⓘ
John Carpenter NERFINISHED ⓘ |
| setting | spacecraft Dark Star NERFINISHED ⓘ |
| title | Dark Star 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: Dark Star (1974 film) Description of subject: Dark Star (1974 film) is a low-budget 1974 science fiction comedy directed and co-written by John Carpenter, following a group of bored astronauts on a long-term mission to destroy unstable planets.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.