Yariv Lerner
E306651
Yariv Lerner is a film producer best known for his work on action movies, including serving as a producer on "Rambo: Last Blood."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yariv Lerner canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2848850 — 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: Yariv Lerner Context triple: [Rambo: Last Blood, producer, Yariv Lerner]
-
A.
Doron Peled
Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
-
B.
Yoav Nir
Yoav Nir is a computer scientist and cryptography expert known for his work on internet security standards, including co-authoring RFC 7539 on the ChaCha20 and Poly1305 encryption algorithms.
-
C.
Ephraim Katzir
Ephraim Katzir was an Israeli biophysicist and politician who served as the fourth President of Israel and was renowned for his pioneering work in the field of protein chemistry.
-
D.
Oded Maler
Oded Maler is a computer scientist known for his contributions to formal verification, hybrid systems, and real-time systems theory.
-
E.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
- 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: Yariv Lerner Target entity description: Yariv Lerner is a film producer best known for his work on action movies, including serving as a producer on "Rambo: Last Blood."
-
A.
Doron Peled
Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
-
B.
Yoav Nir
Yoav Nir is a computer scientist and cryptography expert known for his work on internet security standards, including co-authoring RFC 7539 on the ChaCha20 and Poly1305 encryption algorithms.
-
C.
Ephraim Katzir
Ephraim Katzir was an Israeli biophysicist and politician who served as the fourth President of Israel and was renowned for his pioneering work in the field of protein chemistry.
-
D.
Oded Maler
Oded Maler is a computer scientist known for his contributions to formal verification, hybrid systems, and real-time systems theory.
-
E.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf | film producer ⓘ |
| countryOfWork |
United States
ⓘ
linked to:
United States of America
|
| fieldOfWork | film production ⓘ |
| genreSpecialization | action films ⓘ |
| industry | film industry ⓘ |
| languageOfWork | English ⓘ |
| notableGenre | action movies ⓘ |
| notableWork | Rambo: Last Blood ⓘ |
| occupation | film producer ⓘ |
| role | producer of Rambo: Last Blood ⓘ |
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: Yariv Lerner Description of subject: Yariv Lerner is a film producer best known for his work on action movies, including serving as a producer on "Rambo: Last Blood."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.