Nathan Marz
E702190
Nathan Marz is a software engineer and entrepreneur best known for creating the Apache Storm distributed real-time computation system and for his work on large-scale data processing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nathan Marz canonical | 1 |
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
entrepreneur
ⓘ
software engineer ⓘ |
| associatedWith | Apache Software Foundation NERFINISHED ⓘ |
| authorOf | Big Data: Principles and best practices of scalable realtime data systems NERFINISHED ⓘ |
| creatorOf | Apache Storm NERFINISHED ⓘ |
| designed | Lambda Architecture NERFINISHED ⓘ |
| field |
big data
ⓘ
data engineering ⓘ distributed systems ⓘ real-time computation ⓘ |
| focusesOn |
large-scale data processing
ⓘ
real-time analytics ⓘ scalable system design ⓘ |
| hasExpertise |
batch processing
ⓘ
data-intensive applications ⓘ distributed real-time computation ⓘ scalable data systems ⓘ stream processing ⓘ |
| influenced |
real-time data processing frameworks
ⓘ
stream processing architectures ⓘ |
| knownFor |
Lambda Architecture
NERFINISHED
ⓘ
creating Apache Storm ⓘ work on large-scale data processing ⓘ |
| nationality | American ⓘ |
| notableConcept | Lambda Architecture NERFINISHED ⓘ |
| notableWork | Apache Storm NERFINISHED ⓘ |
| occupation |
software developer
ⓘ
technology entrepreneur ⓘ |
| softwareCreated | Apache Storm 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: Nathan Marz Description of subject: Nathan Marz is a software engineer and entrepreneur best known for creating the Apache Storm distributed real-time computation system and for his work on large-scale data processing.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.