DistBelief
E97079
DistBelief was Google’s early large-scale distributed deep learning system that laid the groundwork for the development of TensorFlow.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DistBelief canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T816563 — 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: DistBelief Context triple: [TensorFlow, predecessor, DistBelief]
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A.
DIS
DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
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B.
Doubt
Doubt is a 2008 drama film, adapted from John Patrick Shanley’s Pulitzer Prize-winning play, that explores themes of faith, morality, and suspicion within a 1960s Catholic school.
-
C.
De fide
De fide is a theological treatise by Ambrose of Milan that systematically defends and explains the Nicene Christian doctrine of the Trinity.
-
D.
Indeed
Indeed is a major global employment website that connects job seekers with employers through job listings, company reviews, and recruitment tools.
-
E.
Vérité
Vérité is a socially engaged novel by Émile Zola that denounces anti-Semitism and religious intolerance in France, inspired by the Dreyfus Affair.
- 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: DistBelief Target entity description: DistBelief was Google’s early large-scale distributed deep learning system that laid the groundwork for the development of TensorFlow.
-
A.
DIS
DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
-
B.
Doubt
Doubt is a 2008 drama film, adapted from John Patrick Shanley’s Pulitzer Prize-winning play, that explores themes of faith, morality, and suspicion within a 1960s Catholic school.
-
C.
De fide
De fide is a theological treatise by Ambrose of Milan that systematically defends and explains the Nicene Christian doctrine of the Trinity.
-
D.
Indeed
Indeed is a major global employment website that connects job seekers with employers through job listings, company reviews, and recruitment tools.
-
E.
Vérité
Vérité is a socially engaged novel by Émile Zola that denounces anti-Semitism and religious intolerance in France, inspired by the Dreyfus Affair.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
distributed deep learning system
ⓘ
machine learning framework ⓘ |
| architecture | parameter server architecture ⓘ |
| authorAssociated |
Andrew Ng
ⓘ
Geoffrey Hinton ⓘ Greg Corrado ⓘ Jeff Dean ⓘ Quoc V. Le ⓘ |
| basedOn |
data parallelism
ⓘ
deep neural networks ⓘ distributed computing ⓘ model parallelism ⓘ |
| capability | training models with billions of parameters ⓘ |
| developer |
Google
ⓘ
Google Brain team ⓘ
linked to:
Google Brain
|
| feature |
asynchronous stochastic gradient descent
ⓘ
data sharding ⓘ distributed training across many machines ⓘ model sharding ⓘ support for very large neural networks ⓘ |
| hardwareSupport |
CPU clusters
ⓘ
GPU acceleration ⓘ |
| influenced |
design of distributed ML systems
ⓘ
large-scale deep learning practices ⓘ |
| inspired | TensorFlow ⓘ |
| license | proprietary ⓘ |
| notableExperiment | unsupervised learning of high-level features from YouTube videos ⓘ |
| notablePublication |
Building High-level Features Using Large Scale Unsupervised Learning
ⓘ
linked to:
Large-Scale Distributed Deep Networks
Large Scale Distributed Deep Networks ⓘ
linked to:
Large-Scale Distributed Deep Networks
|
| organization | Google Brain ⓘ |
| organizationUnit | Google Research ⓘ |
| predecessorOf | TensorFlow ⓘ |
| programmingLanguage |
C++
ⓘ
Python ⓘ |
| researchDomain |
artificial intelligence
ⓘ
deep learning ⓘ |
| scale | thousands of machines ⓘ |
| status | internal system ⓘ |
| successor | TensorFlow ⓘ |
| timePeriod | early 2010s ⓘ |
| trainingAlgorithm | stochastic gradient descent ⓘ |
| usedBy | internal Google products ⓘ |
| usedFor |
computer vision research
ⓘ
large-scale deep learning ⓘ natural language processing research ⓘ speech recognition ⓘ training deep neural networks ⓘ |
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: DistBelief Description of subject: DistBelief was Google’s early large-scale distributed deep learning system that laid the groundwork for the development of TensorFlow.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.