Mike Schuster
E285709
Mike Schuster is a computer scientist known for his contributions to deep learning and sequence modeling, including work on neural machine translation at Google.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mike Schuster canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2373695 — 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: Mike Schuster Context triple: [Quoc V. Le, coAuthorWith, Mike Schuster]
-
A.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
B.
Scott Stuber
Scott Stuber is an American film producer and entertainment executive known for overseeing original films at Netflix and producing major Hollywood movies.
-
C.
Brent Kutzle
Brent Kutzle is an American musician, songwriter, and producer best known as the bassist and cellist for the band OneRepublic and for his work on various pop and rock records.
-
D.
Brian Schmetzer
Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
-
E.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
- 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: Mike Schuster Target entity description: Mike Schuster is a computer scientist known for his contributions to deep learning and sequence modeling, including work on neural machine translation at Google.
-
A.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
B.
Scott Stuber
Scott Stuber is an American film producer and entertainment executive known for overseeing original films at Netflix and producing major Hollywood movies.
-
C.
Brent Kutzle
Brent Kutzle is an American musician, songwriter, and producer best known as the bassist and cellist for the band OneRepublic and for his work on various pop and rock records.
-
D.
Brian Schmetzer
Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
-
E.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| affiliation | Google ⓘ |
| areaOfInfluence | artificial intelligence research community ⓘ |
| citizenship | United States of America ⓘ |
| contributedTo |
large-scale machine translation systems
ⓘ
neural sequence models ⓘ recurrent neural network architectures ⓘ |
| employer | Google ⓘ |
| fieldOfWork |
computer science
ⓘ
deep learning ⓘ machine learning ⓘ natural language processing ⓘ neural machine translation ⓘ sequence modeling ⓘ |
| hasResearchInterest |
deep learning architectures
ⓘ
machine translation ⓘ neural networks ⓘ sequence-to-sequence models ⓘ |
| knownFor |
Google Neural Machine Translation system
ⓘ
deep learning for NLP ⓘ neural machine translation ⓘ sequence-to-sequence learning ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableWork |
research on neural machine translation at Google
ⓘ
research on sequence modeling ⓘ |
| occupation |
computer scientist
ⓘ
research scientist ⓘ software engineer ⓘ |
| workedAt | Google Brain ⓘ |
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: Mike Schuster Description of subject: Mike Schuster is a computer scientist known for his contributions to deep learning and sequence modeling, including work on neural machine translation at Google.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.