Filip Wolski
E441104
Filip Wolski is a machine learning researcher known for his work at OpenAI, including contributions to reinforcement learning methods such as Proximal Policy Optimization (PPO).
All labels observed (1)
| Label | Occurrences |
|---|---|
| Filip Wolski canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4470329 — 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: Filip Wolski Context triple: [PPO, primaryAuthors, Filip Wolski]
-
A.
Dariusz Wolski
Dariusz Wolski is a Polish cinematographer known for his work on major films such as the "Pirates of the Caribbean" series and collaborations with directors like Ridley Scott.
-
B.
Tomasz Arciszewski
Tomasz Arciszewski was a Polish socialist politician and statesman who served as prime minister of the Polish government-in-exile during World War II.
-
C.
Pawel Pogorzelski
Pawel Pogorzelski is a cinematographer known for his visually striking, atmospheric work on films such as Ari Aster’s horror feature "Midsommar."
-
D.
Marcin Czechowic
Marcin Czechowic was a 16th-century Polish Arian theologian and writer known for his leading role in the Polish Brethren (Socinian) movement and his anti-Trinitarian views.
-
E.
Marcin Zukowski
Marcin Zukowski is a Polish computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
- 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: Filip Wolski Target entity description: Filip Wolski is a machine learning researcher known for his work at OpenAI, including contributions to reinforcement learning methods such as Proximal Policy Optimization (PPO).
-
A.
Dariusz Wolski
Dariusz Wolski is a Polish cinematographer known for his work on major films such as the "Pirates of the Caribbean" series and collaborations with directors like Ridley Scott.
-
B.
Tomasz Arciszewski
Tomasz Arciszewski was a Polish socialist politician and statesman who served as prime minister of the Polish government-in-exile during World War II.
-
C.
Pawel Pogorzelski
Pawel Pogorzelski is a cinematographer known for his visually striking, atmospheric work on films such as Ari Aster’s horror feature "Midsommar."
-
D.
Marcin Czechowic
Marcin Czechowic was a 16th-century Polish Arian theologian and writer known for his leading role in the Polish Brethren (Socinian) movement and his anti-Trinitarian views.
-
E.
Marcin Zukowski
Marcin Zukowski is a Polish computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
- F. None of above. chosen
Statements (18)
| Predicate | Object |
|---|---|
| instanceOf |
machine learning researcher
ⓘ
person ⓘ |
| authorOf | “Proximal Policy Optimization Algorithms” NERFINISHED ⓘ |
| coauthorWith |
Alec Radford
NERFINISHED
ⓘ
John Schulman NERFINISHED ⓘ Oleg Klimov NERFINISHED ⓘ Prafulla Dhariwal NERFINISHED ⓘ |
| contributedTo | Proximal Policy Optimization (PPO) NERFINISHED ⓘ |
| employer | OpenAI NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
machine learning ⓘ reinforcement learning ⓘ |
| gender | male ⓘ |
| knownFor |
contributions at OpenAI
ⓘ
work on reinforcement learning algorithms ⓘ |
| language | English ⓘ |
| name | Filip Wolski NERFINISHED ⓘ |
| notableWork | Proximal Policy Optimization 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.
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: Filip Wolski Description of subject: Filip Wolski is a machine learning researcher known for his work at OpenAI, including contributions to reinforcement learning methods such as Proximal Policy Optimization (PPO).
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.