Whispersync for Voice
E640011
Whispersync for Voice is an Amazon feature that lets users seamlessly switch between reading a Kindle ebook and listening to its Audible audiobook counterpart while keeping their place synchronized.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Whispersync for Voice canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7088653 — 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: Whispersync for Voice Context triple: [Whispersync, hasVersion, Whispersync for Voice]
-
A.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
B.
Google Cloud Text-to-Speech
Google Cloud Text-to-Speech is a cloud-based service that converts text into natural-sounding speech using advanced deep learning models.
-
C.
Inflection AI
Inflection AI is an artificial intelligence company focused on developing advanced conversational AI systems, co-founded by DeepMind co-founder Mustafa Suleyman.
-
D.
TTS
TTS is a U.S. General Services Administration organization that helps federal agencies modernize their technology, improve digital services, and adopt innovative solutions.
-
E.
Story Tap
Story Tap is a digital platform or application that provides users with access to the Sea of Stories content.
- 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: Whispersync for Voice Target entity description: Whispersync for Voice is an Amazon feature that lets users seamlessly switch between reading a Kindle ebook and listening to its Audible audiobook counterpart while keeping their place synchronized.
-
A.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
B.
Google Cloud Text-to-Speech
Google Cloud Text-to-Speech is a cloud-based service that converts text into natural-sounding speech using advanced deep learning models.
-
C.
Inflection AI
Inflection AI is an artificial intelligence company focused on developing advanced conversational AI systems, co-founded by DeepMind co-founder Mustafa Suleyman.
-
D.
TTS
TTS is a U.S. General Services Administration organization that helps federal agencies modernize their technology, improve digital services, and adopt innovative solutions.
-
E.
Story Tap
Story Tap is a digital platform or application that provides users with access to the Sea of Stories content.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Amazon feature
ⓘ
digital reading feature ⓘ |
| associatedWith |
Audible
ⓘ
Kindle ⓘ |
| benefit |
lets users continue a book hands-free
ⓘ
preserves exact reading location across formats ⓘ supports multi-device reading and listening ⓘ |
| brandingRelation | related to Amazon Whispersync ⓘ |
| category |
cross-platform reading feature
ⓘ
ebook-audiobook synchronization technology ⓘ |
| dataStored | reading position in Amazon cloud ⓘ |
| developer |
Amazon
ⓘ
Amazon.com, Inc. ⓘ
linked to:
Amazon
|
| feature |
allows seamless switching between reading and listening
ⓘ
automatic bookmark synchronization ⓘ cloud-based position tracking ⓘ synchronizes reading position between ebook and audiobook ⓘ |
| integratedInto |
Amazon Fire OS reading experience
ⓘ
Audible app for Android ⓘ
linked to:
Audible
Audible app for iOS ⓘ
linked to:
Audible
Kindle app for Android ⓘ
linked to:
Android Kindle app
Kindle app for iOS ⓘ
linked to:
Amazon Kindle apps
|
| introducedBy |
Amazon Kindle
ⓘ
linked to:
Kindle
|
| marketedAs |
convenience feature for commuters
ⓘ
time-saving feature for readers ⓘ |
| ownedBy |
Amazon.com, Inc.
ⓘ
linked to:
Amazon
|
| partOf |
Amazon Audible ecosystem
ⓘ
Amazon Kindle ecosystem ⓘ |
| requires |
Amazon account
ⓘ
compatible Kindle ebook ⓘ internet connection for sync ⓘ matching Audible audiobook ⓘ |
| supportsModeSwitch |
audio-to-text
ⓘ
text-to-audio ⓘ |
| supportsPlatform |
Amazon Fire tablets
ⓘ
linked to:
Amazon Fire tablet
Android ⓘ Audible apps ⓘ Kindle apps ⓘ
linked to:
Amazon Kindle apps
Kindle e-readers ⓘ
linked to:
Kindle
iOS ⓘ |
| synchronizes |
chapter position
ⓘ
last listened-to position ⓘ last page read ⓘ |
| targetUser |
Audible audiobook listeners
ⓘ
Kindle ebook readers ⓘ users who switch between devices ⓘ |
| usedWith |
Audible Store
ⓘ
linked to:
Audible
Kindle Store ⓘ
linked to:
Amazon Kindle Store
|
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: Whispersync for Voice Description of subject: Whispersync for Voice is an Amazon feature that lets users seamlessly switch between reading a Kindle ebook and listening to its Audible audiobook counterpart while keeping their place synchronized.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.