Yedlin Resolution Demo
E604446
Yedlin Resolution Demo is a technical demonstration by cinematographer Steve Yedlin that compares film and digital image formats to argue that perceived “resolution” is largely a matter of image processing rather than sensor size or capture medium.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yedlin Resolution Demo canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6546212 — 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: Yedlin Resolution Demo Context triple: [Steve Yedlin, hasResearchOutput, Yedlin Resolution Demo]
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A.
YEO
YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
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B.
YCE
YCE is the abbreviated name of the UNEP Young Champions of the Earth program, a United Nations initiative that recognizes and supports outstanding young environmental leaders worldwide.
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C.
Yeyin
Yeyin is a small coastal settlement on Orchid Island, Taiwan, known for its indigenous Tao culture and traditional fishing lifestyle.
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D.
Yee
Yee is a Chinese-origin surname commonly found among people of East and Southeast Asian descent.
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E.
Project Y
Project Y was the secret codename for the Los Alamos Laboratory, the central research site of the Manhattan Project where the first atomic bombs were designed and built during World War II.
- 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: Yedlin Resolution Demo Target entity description: Yedlin Resolution Demo is a technical demonstration by cinematographer Steve Yedlin that compares film and digital image formats to argue that perceived “resolution” is largely a matter of image processing rather than sensor size or capture medium.
-
A.
YEO
YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
-
B.
YCE
YCE is the abbreviated name of the UNEP Young Champions of the Earth program, a United Nations initiative that recognizes and supports outstanding young environmental leaders worldwide.
-
C.
Yeyin
Yeyin is a small coastal settlement on Orchid Island, Taiwan, known for its indigenous Tao culture and traditional fishing lifestyle.
-
D.
Yee
Yee is a Chinese-origin surname commonly found among people of East and Southeast Asian descent.
-
E.
Project Y
Project Y was the secret codename for the Los Alamos Laboratory, the central research site of the Manhattan Project where the first atomic bombs were designed and built during World War II.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
technical demonstration
ⓘ
video essay ⓘ |
| argument | perceived resolution is primarily determined by image processing rather than sensor size or capture medium ⓘ |
| associatedWith |
cinematography education
ⓘ
image science ⓘ visual effects and post‑production workflows ⓘ |
| author | Steve Yedlin NERFINISHED ⓘ |
| compares |
35mm film
ⓘ
different capture resolutions ⓘ different downsampling and upsampling methods ⓘ digital cinema cameras ⓘ |
| creator | Steve Yedlin NERFINISHED ⓘ |
| creatorName | Steve Yedlin, ASC NERFINISHED ⓘ |
| demonstrates |
that film and digital images can be made to look very similar with proper processing
ⓘ
that sensor resolution is not the sole determinant of perceived detail ⓘ the importance of display and viewing conditions in perceived resolution ⓘ |
| distributionFormat | online video ⓘ |
| hasAuthorOccupation | cinematographer ⓘ |
| hasPart |
explanatory text overlays
ⓘ
sections addressing 2K versus 4K and higher resolutions ⓘ side‑by‑side comparisons of film and digital images ⓘ zoom‑in crops to examine fine detail ⓘ |
| influenced |
cinematographers’ understanding of resolution and processing
ⓘ
online debates about film versus digital image quality ⓘ |
| language | English ⓘ |
| mainSubject |
capture medium
ⓘ
film versus digital cinematography ⓘ image processing ⓘ image resolution ⓘ perceived sharpness ⓘ sensor size ⓘ |
| notableFor |
arguing that resolution is a perceptual and processing issue more than a capture‑format issue
ⓘ
being widely cited in discussions of 2K vs 4K theatrical delivery ⓘ rigorous, controlled comparisons between film and digital formats ⓘ |
| purpose |
to challenge common assumptions about 4K and higher resolutions
ⓘ
to compare film and digital image formats under controlled conditions ⓘ to demonstrate that film and digital images can be matched closely through processing ⓘ |
| relatedWork | Steve Yedlin’s other technical demos on image science and display transforms ⓘ |
| usesTechnique |
carefully calibrated post‑processing
ⓘ
controlled test charts ⓘ matched framing and lighting ⓘ |
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: Yedlin Resolution Demo Description of subject: Yedlin Resolution Demo is a technical demonstration by cinematographer Steve Yedlin that compares film and digital image formats to argue that perceived “resolution” is largely a matter of image processing rather than sensor size or capture medium.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.