Ivo Danihelka
E899069
Ivo Danihelka is a computer scientist and machine learning researcher known for co-authoring the influential Neural Turing Machines paper.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ivo Danihelka canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T11003637 — 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: Ivo Danihelka Context triple: [Neural Turing Machines, hasAuthor, Ivo Danihelka]
-
A.
Vlado Meller
Vlado Meller is a renowned audio mastering engineer known for his work on numerous high-profile albums across rock, pop, and hip-hop.
-
B.
Milan Baroš
Milan Baroš is a Czech former professional footballer and prolific striker best known for his goal-scoring exploits for the Czech national team and clubs such as Liverpool and Galatasaray.
-
C.
Marek Jankulovski
Marek Jankulovski is a retired Czech footballer best known as an attacking left-back and midfielder who starred for AC Milan and the Czech national team in the 2000s.
-
D.
Miroslav Šatan
Miroslav Šatan is a retired Slovak professional ice hockey forward best known for his long NHL career and for captaining Slovakia to the 2002 IIHF World Championship gold medal.
-
E.
Martin Straka
Martin Straka is a retired Czech professional ice hockey forward and Olympic gold medalist who enjoyed a long NHL career before becoming a prominent figure in Czech domestic hockey.
- 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: Ivo Danihelka Target entity description: Ivo Danihelka is a computer scientist and machine learning researcher known for co-authoring the influential Neural Turing Machines paper.
-
A.
Vlado Meller
Vlado Meller is a renowned audio mastering engineer known for his work on numerous high-profile albums across rock, pop, and hip-hop.
-
B.
Milan Baroš
Milan Baroš is a Czech former professional footballer and prolific striker best known for his goal-scoring exploits for the Czech national team and clubs such as Liverpool and Galatasaray.
-
C.
Marek Jankulovski
Marek Jankulovski is a retired Czech footballer best known as an attacking left-back and midfielder who starred for AC Milan and the Czech national team in the 2000s.
-
D.
Miroslav Šatan
Miroslav Šatan is a retired Slovak professional ice hockey forward best known for his long NHL career and for captaining Slovakia to the 2002 IIHF World Championship gold medal.
-
E.
Martin Straka
Martin Straka is a retired Czech professional ice hockey forward and Olympic gold medalist who enjoyed a long NHL career before becoming a prominent figure in Czech domestic hockey.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
machine learning researcher ⓘ |
| coAuthorOf | Neural Turing Machines ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
machine learning ⓘ neural networks ⓘ |
| hasCitizenship | Czech Republic ⓘ |
| hasRole | research scientist ⓘ |
| knownFor | co-authoring the Neural Turing Machines paper ⓘ |
| notableWork | Neural Turing Machines ⓘ |
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: Ivo Danihelka Description of subject: Ivo Danihelka is a computer scientist and machine learning researcher known for co-authoring the influential Neural Turing Machines paper.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.