Leonardo de Moura
E46384
Leonardo de Moura is a Brazilian computer scientist best known for creating the Z3 theorem prover and contributing significantly to automated reasoning and formal verification.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Leonardo de Moura canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T364404 — 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: Leonardo de Moura Context triple: [Herbrand Award, notableRecipient, Leonardo de Moura]
-
A.
Armando Hart Dávalos
Armando Hart Dávalos was a prominent Cuban revolutionary, intellectual, and politician who served as a key leader in the Cuban Revolution and later as Cuba’s Minister of Education and Minister of Culture.
-
B.
José Alexandre
José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
-
C.
Francisco Ramos da Costa
Francisco Ramos da Costa was a Portuguese political figure best known as one of the founders of the Socialist Party (Portugal).
-
D.
Rafael Carmoega
Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
-
E.
Tomas Arana
Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
- 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: Leonardo de Moura Target entity description: Leonardo de Moura is a Brazilian computer scientist best known for creating the Z3 theorem prover and contributing significantly to automated reasoning and formal verification.
-
A.
Armando Hart Dávalos
Armando Hart Dávalos was a prominent Cuban revolutionary, intellectual, and politician who served as a key leader in the Cuban Revolution and later as Cuba’s Minister of Education and Minister of Culture.
-
B.
José Alexandre
José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
-
C.
Francisco Ramos da Costa
Francisco Ramos da Costa was a Portuguese political figure best known as one of the founders of the Socialist Party (Portugal).
-
D.
Rafael Carmoega
Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
-
E.
Tomas Arana
Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
person ⓘ researcher ⓘ |
| affiliation | Microsoft ⓘ |
| citizenship | Brazil ⓘ |
| coAuthorOf |
papers on SMT solvers
ⓘ
papers on Z3 ⓘ papers on automated reasoning ⓘ papers on formal methods ⓘ |
| contributedTo |
Satisfiability Modulo Theories (SMT)
ⓘ
decision procedures for logical theories ⓘ formal methods in software verification ⓘ |
| developed |
Z3 SMT solver
ⓘ
surface form:
Z3 theorem prover
|
| employer |
Microsoft Research Cambridge
ⓘ
surface form:
Microsoft Research
|
| fieldOfWork |
automated reasoning
ⓘ
computer science ⓘ formal verification ⓘ theorem proving ⓘ |
| knownFor |
Z3 SMT solver
ⓘ
surface form:
Z3 theorem prover
automated reasoning ⓘ formal verification ⓘ |
| language |
English
ⓘ
Portuguese ⓘ |
| nationality | Brazilian ⓘ |
| notableWork | Z3: An Efficient SMT Solver ⓘ |
| researchInterest |
SMT solving
ⓘ
automated theorem proving ⓘ decision procedures ⓘ formal verification of software ⓘ |
| workLocation |
Redmond, Washington, United States
ⓘ
surface form:
Redmond
|
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: Leonardo de Moura Description of subject: Leonardo de Moura is a Brazilian computer scientist best known for creating the Z3 theorem prover and contributing significantly to automated reasoning and formal verification.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Z3
subject surface form:
Z3
subject surface form:
"Z3: An Efficient SMT Solver"