Dead Men Don’t Wear Plaid
E570786
Dead Men Don’t Wear Plaid is a 1982 neo-noir comedy film that parodies classic detective movies by blending new footage with clips from vintage Hollywood films.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Dead Men Don’t Wear Plaid canonical | 6 |
| Dead Men Don't Wear Plaid | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6139776 — 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: Dead Men Don’t Wear Plaid Context triple: [Michael Chapman, notableWork, Dead Men Don’t Wear Plaid]
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A.
Dead Men’s Shoes
"Dead Men’s Shoes" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of identity, social expectation, and personal transformation in a Southern setting.
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B.
Dead Man's Party
"Dead Man's Party" is a 1985 new wave rock song and album by Oingo Boingo, known for its darkly humorous lyrics and enduring popularity, especially around Halloween.
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C.
Dead Man
Dead Man is a 1995 black-and-white revisionist Western film written and directed by Jim Jarmusch, known for its surreal, existential tone and a score by Neil Young.
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D.
Dead Man’s Footsteps
Dead Man’s Footsteps is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace as he investigates a mystery linked to the 9/11 attacks and a long-buried secret.
-
E.
Dead Man’s Grip
Dead Man’s Grip is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a deadly chain of events triggered by a fatal traffic accident.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Dead Men Don’t Wear Plaid Target entity description: Dead Men Don’t Wear Plaid is a 1982 neo-noir comedy film that parodies classic detective movies by blending new footage with clips from vintage Hollywood films.
-
A.
Dead Men’s Shoes
"Dead Men’s Shoes" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of identity, social expectation, and personal transformation in a Southern setting.
-
B.
Dead Man's Party
"Dead Man's Party" is a 1985 new wave rock song and album by Oingo Boingo, known for its darkly humorous lyrics and enduring popularity, especially around Halloween.
-
C.
Dead Man
Dead Man is a 1995 black-and-white revisionist Western film written and directed by Jim Jarmusch, known for its surreal, existential tone and a score by Neil Young.
-
D.
Dead Man’s Footsteps
Dead Man’s Footsteps is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace as he investigates a mystery linked to the 9/11 attacks and a long-buried secret.
-
E.
Dead Man’s Grip
Dead Man’s Grip is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a deadly chain of events triggered by a fatal traffic accident.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
film
ⓘ
neo-noir comedy film ⓘ |
| cinematographyBy | Michael Chapman NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| director | Carl Reiner NERFINISHED ⓘ |
| distributor | Universal Pictures ⓘ |
| editedBy | Bud Molin NERFINISHED ⓘ |
| genre |
comedy film
ⓘ
mystery film ⓘ neo-noir ⓘ |
| leadActorForCharacterRigbyReardon | Steve Martin NERFINISHED ⓘ |
| leadCharacter | Rigby Reardon NERFINISHED ⓘ |
| musicBy | Miklós Rózsa NERFINISHED ⓘ |
| notableFeature | blends new footage with clips from vintage Hollywood films ⓘ |
| originalLanguage | English ⓘ |
| parodies |
classic detective films
ⓘ
film noir ⓘ |
| producer | William E. McEuen NERFINISHED ⓘ |
| releaseDate | 1982-05-21 ⓘ |
| releaseYear | 1982 ⓘ |
| setting | Los Angeles ⓘ |
| starring |
Alan Ladd
NERFINISHED
ⓘ
Ava Gardner NERFINISHED ⓘ Barbara Stanwyck NERFINISHED ⓘ Bette Davis NERFINISHED ⓘ Burt Lancaster NERFINISHED ⓘ Carl Reiner NERFINISHED ⓘ Cary Grant NERFINISHED ⓘ Charles Boyer NERFINISHED ⓘ Charles Laughton NERFINISHED ⓘ Edward G. Robinson NERFINISHED ⓘ Fred MacMurray NERFINISHED ⓘ Humphrey Bogart NERFINISHED ⓘ Ingrid Bergman NERFINISHED ⓘ James Cagney NERFINISHED ⓘ Joan Crawford NERFINISHED ⓘ Kirk Douglas NERFINISHED ⓘ Lana Turner NERFINISHED ⓘ Marlene Dietrich NERFINISHED ⓘ Rachel Ward NERFINISHED ⓘ Ray Milland NERFINISHED ⓘ Reni Santoni NERFINISHED ⓘ Steve Martin NERFINISHED ⓘ Veronica Lake NERFINISHED ⓘ Vincent Price NERFINISHED ⓘ |
| timePeriod | 1940s-style detective era ⓘ |
| title | Dead Men Don’t Wear Plaid NERFINISHED ⓘ |
| writer |
Carl Reiner
NERFINISHED
ⓘ
George Gipe NERFINISHED ⓘ Steve Martin 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: Dead Men Don’t Wear Plaid Description of subject: Dead Men Don’t Wear Plaid is a 1982 neo-noir comedy film that parodies classic detective movies by blending new footage with clips from vintage Hollywood films.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.