Pusher
E457349
Pusher is a TensorFlow Extended (TFX) component responsible for validating and deploying trained machine learning models to serving infrastructure.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pusher canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T4654873 — 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: Pusher Context triple: [TensorFlow Extended, hasComponent, Pusher]
-
A.
Push API
The Push API is a web standard that enables servers to send asynchronous push messages to web applications, allowing them to receive updates even when the page is not actively open.
-
B.
Audio Push
Audio Push is an American hip hop duo from Inland Empire, California, known for their blend of West Coast rap and dance-oriented tracks.
-
C.
Pub/Sub Lite
Pub/Sub Lite is a lower-cost, high-throughput messaging service on Google Cloud designed for streaming data workloads that can tolerate more operational management compared to standard Pub/Sub.
-
D.
Clubhouse
Clubhouse is a 2004 American drama film in which John Ortiz appears, centered on a troubled teen who finds an unlikely sense of belonging in a minor league baseball team’s clubhouse.
-
E.
Google Cloud Pub/Sub
Google Cloud Pub/Sub is a fully managed real-time messaging service that enables asynchronous, scalable communication between independent applications and services.
- 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: Pusher Target entity description: Pusher is a TensorFlow Extended (TFX) component responsible for validating and deploying trained machine learning models to serving infrastructure.
-
A.
Push API
The Push API is a web standard that enables servers to send asynchronous push messages to web applications, allowing them to receive updates even when the page is not actively open.
-
B.
Audio Push
Audio Push is an American hip hop duo from Inland Empire, California, known for their blend of West Coast rap and dance-oriented tracks.
-
C.
Pub/Sub Lite
Pub/Sub Lite is a lower-cost, high-throughput messaging service on Google Cloud designed for streaming data workloads that can tolerate more operational management compared to standard Pub/Sub.
-
D.
Clubhouse
Clubhouse is a 2004 American drama film in which John Ortiz appears, centered on a troubled teen who finds an unlikely sense of belonging in a minor league baseball team’s clubhouse.
-
E.
Google Cloud Pub/Sub
Google Cloud Pub/Sub is a fully managed real-time messaging service that enables asynchronous, scalable communication between independent applications and services.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
TFX component
ⓘ
software component ⓘ |
| configuredWith |
Pusher component arguments
ⓘ
PusherSpec ⓘ |
| consumes |
model blessing artifacts
ⓘ
trained model artifacts ⓘ |
| developedBy | Google ⓘ |
| documentedAt | https://www.tensorflow.org/tfx/guide/pusher ⓘ |
| domain |
MLOps
ⓘ
machine learning engineering ⓘ |
| ensures |
only validated models are deployed
ⓘ
traceability of deployed models via metadata ⓘ |
| goal | make validated models available for serving ⓘ |
| hasFeature |
conditional model pushing based on validation
ⓘ
integration with ML Metadata ⓘ support for custom push destinations ⓘ versioned model deployment ⓘ |
| implementedIn | Python ⓘ |
| inputFrom |
Evaluator
ⓘ
Trainer ⓘ |
| outputs |
deployment metadata
ⓘ
pushed model artifacts ⓘ |
| partOf |
TFX pipeline
ⓘ
TensorFlow Extended ⓘ |
| platform | TensorFlow ecosystem ⓘ |
| requires |
a blessed model from Evaluator
ⓘ
a trained model from Trainer ⓘ |
| responsibleFor |
checking model blessing status
ⓘ
exporting models for serving ⓘ model deployment ⓘ model validation ⓘ pushing models to serving infrastructure ⓘ |
| supports |
CI/CD style model rollout
ⓘ
TensorFlow Serving deployment ⓘ cloud storage deployment ⓘ custom deployment targets ⓘ local filesystem deployment ⓘ |
| usedIn |
ML production workflows
ⓘ
machine learning pipelines ⓘ |
| usedWith |
Evaluator
ⓘ
ExampleGen ⓘ ExampleValidator ⓘ SchemaGen ⓘ StatisticsGen ⓘ Trainer ⓘ Transform ⓘ |
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: Pusher Description of subject: Pusher is a TensorFlow Extended (TFX) component responsible for validating and deploying trained machine learning models to serving infrastructure.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.