Coffee and Cigarettes
E65382
Coffee and Cigarettes is an independent anthology film by Jim Jarmusch composed of a series of black-and-white vignettes in which various actors and musicians converse over coffee and cigarettes.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Coffee and Cigarettes canonical | 20 |
| Coffee and Cigarettes (2003 film) | 1 |
| Coffee and Cigarettes series | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T523567 — 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: Coffee and Cigarettes Context triple: [RZA, appearedIn, Coffee and Cigarettes]
-
A.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
B.
Coffee
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
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C.
Stumptown
Stumptown is a historic nickname for Portland, Oregon, referencing the city’s rapid 19th-century growth that left tree stumps scattered throughout the area.
-
D.
Lucky Strike
Lucky Strike is a historic American cigarette brand known for its distinctive packaging and long-standing presence in popular culture.
-
E.
The Bean
The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Coffee and Cigarettes Target entity description: Coffee and Cigarettes is an independent anthology film by Jim Jarmusch composed of a series of black-and-white vignettes in which various actors and musicians converse over coffee and cigarettes.
-
A.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
B.
Coffee
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
-
C.
Stumptown
Stumptown is a historic nickname for Portland, Oregon, referencing the city’s rapid 19th-century growth that left tree stumps scattered throughout the area.
-
D.
Lucky Strike
Lucky Strike is a historic American cigarette brand known for its distinctive packaging and long-standing presence in popular culture.
-
E.
The Bean
The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
- F. None of above. chosen
Statements (48)
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: Coffee and Cigarettes Description of subject: Coffee and Cigarettes is an independent anthology film by Jim Jarmusch composed of a series of black-and-white vignettes in which various actors and musicians converse over coffee and cigarettes.
Referenced by (22)
Full triples — surface form annotated when it differs from this entity's canonical label.