Completely Automated Public Turing test to tell Computers and Humans Apart
E1019450
Completely Automated Public Turing test to tell Computers and Humans Apart is a type of challenge–response test used on websites to distinguish human users from automated bots.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Completely Automated Public Turing test to tell Computers and Humans Apart canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T13091227 — 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: Completely Automated Public Turing test to tell Computers and Humans Apart Context triple: [CAPTCHA, fullForm, Completely Automated Public Turing test to tell Computers and Humans Apart]
-
A.
Turing test
The Turing test is a benchmark in artificial intelligence that evaluates a machine's ability to exhibit human-like intelligence by determining whether its responses are indistinguishable from those of a human in conversation.
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B.
Just A Rather Very Intelligent System
Just A Rather Very Intelligent System is Tony Stark’s advanced artificial intelligence assistant in the Marvel Cinematic Universe, responsible for managing his technology and Iron Man suits.
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C.
Finding: The Self-Describing Web
"Finding: The Self-Describing Web" is a W3C Technical Architecture Group document that explains how web resources should carry or link to enough metadata and semantics to allow automated agents and humans to understand and use them without prior agreement.
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D.
Computing Machinery and Intelligence
"Computing Machinery and Intelligence" is Alan Turing’s landmark 1950 paper that introduced the Turing Test and fundamentally shaped the philosophical and technical foundations of artificial intelligence.
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E.
The Digital Personae and the Society of Control
The Digital Personae and the Society of Control is a scholarly work examining how digital technologies construct personal identities ("digital personae") and enable new forms of social surveillance and control.
- 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: Completely Automated Public Turing test to tell Computers and Humans Apart Target entity description: Completely Automated Public Turing test to tell Computers and Humans Apart is a type of challenge–response test used on websites to distinguish human users from automated bots.
-
A.
Turing test
The Turing test is a benchmark in artificial intelligence that evaluates a machine's ability to exhibit human-like intelligence by determining whether its responses are indistinguishable from those of a human in conversation.
-
B.
Just A Rather Very Intelligent System
Just A Rather Very Intelligent System is Tony Stark’s advanced artificial intelligence assistant in the Marvel Cinematic Universe, responsible for managing his technology and Iron Man suits.
-
C.
Finding: The Self-Describing Web
"Finding: The Self-Describing Web" is a W3C Technical Architecture Group document that explains how web resources should carry or link to enough metadata and semantics to allow automated agents and humans to understand and use them without prior agreement.
-
D.
Computing Machinery and Intelligence
"Computing Machinery and Intelligence" is Alan Turing’s landmark 1950 paper that introduced the Turing Test and fundamentally shaped the philosophical and technical foundations of artificial intelligence.
-
E.
The Digital Personae and the Society of Control
The Digital Personae and the Society of Control is a scholarly work examining how digital technologies construct personal identities ("digital personae") and enable new forms of social surveillance and control.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
challenge–response test
ⓘ
reverse Turing test ⓘ web security mechanism ⓘ |
| abbreviation | CAPTCHA NERFINISHED ⓘ |
| basedOn | problems that are easy for humans but hard for computers ⓘ |
| challengeMedium |
audio
ⓘ
image ⓘ interactive widget ⓘ text ⓘ |
| counteredBy |
machine learning-based image recognition
ⓘ
optical character recognition ⓘ |
| criticizedFor |
accessibility issues for visually impaired users
ⓘ
being breakable by advanced machine learning ⓘ usability problems ⓘ |
| designedBy |
John Langford
NERFINISHED
ⓘ
Luis von Ahn NERFINISHED ⓘ Manuel Blum NERFINISHED ⓘ Nicholas J. Hopper NERFINISHED ⓘ |
| developedAt | Carnegie Mellon University NERFINISHED ⓘ |
| evolvedInto |
invisible CAPTCHA systems
ⓘ
risk-based CAPTCHA systems ⓘ |
| example |
click a checkbox labeled "I am not a robot"
ⓘ
distorted text recognition test ⓘ select all images containing a specific object ⓘ |
| hasProperty |
automated evaluation
ⓘ
designed to be difficult for bots ⓘ designed to be solvable by humans ⓘ machine-graded ⓘ publicly accessible ⓘ |
| hasType |
audio CAPTCHA
ⓘ
behavioral CAPTCHA NERFINISHED ⓘ checkbox CAPTCHA ⓘ game-based CAPTCHA ⓘ image-based CAPTCHA ⓘ math CAPTCHA ⓘ slider CAPTCHA ⓘ text-based CAPTCHA NERFINISHED ⓘ |
| introducedIn | early 2000s ⓘ |
| purpose | distinguish human users from automated bots ⓘ |
| relatedTo | Turing test NERFINISHED ⓘ |
| securityRole |
access control
ⓘ
bot mitigation ⓘ fraud prevention ⓘ |
| usedFor |
prevent automated abuse of online services
ⓘ
prevent automated account creation ⓘ prevent credential stuffing attacks ⓘ prevent spam ⓘ rate limiting automated requests ⓘ |
| usedOn | websites ⓘ |
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: Completely Automated Public Turing test to tell Computers and Humans Apart Description of subject: Completely Automated Public Turing test to tell Computers and Humans Apart is a type of challenge–response test used on websites to distinguish human users from automated bots.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.