Google Discover
E358143
Google Discover is a personalized content feed from Google that surfaces news, articles, and other information based on a user’s interests and browsing activity.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Google Discover canonical | 3 |
| Google Now | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3421096 — 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: Google Discover Context triple: [Pixel Launcher, integratesWith, Google Discover]
-
A.
Google Now Launcher
Google Now Launcher was Google’s former Android home screen app that integrated Google Now cards and voice search directly into the launcher experience.
-
B.
Google Gemini
Google Gemini is Google's family of advanced multimodal AI models designed to handle text, code, images, and other data types for a wide range of intelligent applications.
-
C.
Google Search
Google Search is a widely used web search engine developed by Google that allows users to find information, websites, images, and other content across the internet.
-
D.
StumbleUpon
StumbleUpon was a popular discovery and recommendation platform that let users "stumble" through personalized web content based on their interests.
-
E.
Internet search
Internet search is the process of using specialized software and algorithms to locate relevant information across the World Wide Web based on user queries.
- 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: Google Discover Target entity description: Google Discover is a personalized content feed from Google that surfaces news, articles, and other information based on a user’s interests and browsing activity.
-
A.
Google Now Launcher
Google Now Launcher was Google’s former Android home screen app that integrated Google Now cards and voice search directly into the launcher experience.
-
B.
Google Gemini
Google Gemini is Google's family of advanced multimodal AI models designed to handle text, code, images, and other data types for a wide range of intelligent applications.
-
C.
Google Search
Google Search is a widely used web search engine developed by Google that allows users to find information, websites, images, and other content across the internet.
-
D.
StumbleUpon
StumbleUpon was a popular discovery and recommendation platform that let users "stumble" through personalized web content based on their interests.
-
E.
Internet search
Internet search is the process of using specialized software and algorithms to locate relevant information across the World Wide Web based on user queries.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Google service
ⓘ
content recommendation service ⓘ |
| accessibleVia |
Google app
ⓘ
google.com mobile homepage ⓘ |
| allows |
customizing interests
ⓘ
following topics ⓘ muting topics ⓘ |
| category | personalized recommendation system ⓘ |
| contentType |
blog posts
ⓘ
entertainment updates ⓘ evergreen content ⓘ financial news ⓘ local news ⓘ news articles ⓘ sports scores ⓘ videos ⓘ |
| developer | Google ⓘ |
| focusesOn | mobile users ⓘ |
| formerName | Google Feed ⓘ |
| hasFeature | Discover report in Google Search Console ⓘ |
| integratedWith |
Google News
ⓘ
Google Search ⓘ |
| launchYear | 2018 ⓘ |
| ownedBy |
Google
ⓘ
surface form:
Google LLC
|
| partOf | Google Search ecosystem ⓘ |
| personalizationBasedOn |
YouTube activity
ⓘ
topics followed by user ⓘ web and app activity ⓘ |
| platform |
Android
ⓘ
iOS ⓘ mobile web ⓘ |
| predecessor |
Google Now Launcher
ⓘ
surface form:
Google Now feed
|
| provides |
article recommendations
ⓘ
news recommendations ⓘ personalized content feed ⓘ video recommendations ⓘ |
| rankingSignalsInclude |
content relevance
ⓘ
freshness ⓘ page quality ⓘ user engagement history ⓘ |
| shows |
AMP pages
ⓘ
non-AMP pages ⓘ |
| supports |
English
ⓘ
multiple languages ⓘ |
| uses |
engagement signals
ⓘ
location signals ⓘ machine learning ⓘ search history ⓘ user browsing history ⓘ user interests ⓘ |
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: Google Discover Description of subject: Google Discover is a personalized content feed from Google that surfaces news, articles, and other information based on a user’s interests and browsing activity.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Google Now