Stephen Kazmierski
E849597
Stephen Kazmierski is a cinematographer best known for his work on the acclaimed independent film "You Can Count on Me."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stephen Kazmierski canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T10188968 — 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: Stephen Kazmierski Context triple: [You Can Count on Me, cinematography, Stephen Kazmierski]
-
A.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
-
B.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
C.
Sam Kiszka
Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
-
D.
Peter Jankowski
Peter Jankowski is a television producer best known for his longtime work on Dick Wolf’s crime drama franchises, including the Chicago and Law & Order series.
-
E.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
- 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: Stephen Kazmierski Target entity description: Stephen Kazmierski is a cinematographer best known for his work on the acclaimed independent film "You Can Count on Me."
-
A.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
-
B.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
C.
Sam Kiszka
Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
-
D.
Peter Jankowski
Peter Jankowski is a television producer best known for his longtime work on Dick Wolf’s crime drama franchises, including the Chicago and Law & Order series.
-
E.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
cinematographer
ⓘ
film ⓘ person ⓘ |
| cinematographyBy | Stephen Kazmierski ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| genre | independent film ⓘ |
| knownFor | You Can Count on Me ⓘ |
| nationality | American ⓘ |
| occupation | cinematographer ⓘ |
| workedOn | You Can Count on Me ⓘ |
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: Stephen Kazmierski Description of subject: Stephen Kazmierski is a cinematographer best known for his work on the acclaimed independent film "You Can Count on Me."
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.