Perception filter
E418766
A perception filter is a fictional device or effect that subtly manipulates human awareness so that people overlook or fail to consciously notice whatever it is concealing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Perception filter canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4176764 — 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: Perception filter Context triple: [The Box, hasSecurityFeature, Perception filter]
-
A.
Neural Filters
Neural Filters are Adobe Photoshop’s AI-powered tools that apply advanced, machine-learning-based adjustments and creative effects to images with minimal manual editing.
-
B.
Kalman filter
The Kalman filter is a mathematical algorithm used to estimate the changing state of a system from noisy measurements, widely applied in control systems, navigation, and signal processing.
-
C.
Kanade–Lucas–Tomasi feature tracker
The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
-
D.
Wiener filter
The Wiener filter is a signal processing technique that optimally estimates a desired signal from noisy observations by minimizing the mean square error, based on statistical properties of signal and noise.
-
E.
Lucas–Kanade optical flow algorithm
The Lucas–Kanade optical flow algorithm is a widely used computer vision method for estimating the motion of features between consecutive images by assuming locally constant motion and solving a least-squares problem.
- 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: Perception filter Target entity description: A perception filter is a fictional device or effect that subtly manipulates human awareness so that people overlook or fail to consciously notice whatever it is concealing.
-
A.
Neural Filters
Neural Filters are Adobe Photoshop’s AI-powered tools that apply advanced, machine-learning-based adjustments and creative effects to images with minimal manual editing.
-
B.
Kalman filter
The Kalman filter is a mathematical algorithm used to estimate the changing state of a system from noisy measurements, widely applied in control systems, navigation, and signal processing.
-
C.
Kanade–Lucas–Tomasi feature tracker
The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
-
D.
Wiener filter
The Wiener filter is a signal processing technique that optimally estimates a desired signal from noisy observations by minimizing the mean square error, based on statistical properties of signal and noise.
-
E.
Lucas–Kanade optical flow algorithm
The Lucas–Kanade optical flow algorithm is a widely used computer vision method for estimating the motion of features between consecutive images by assuming locally constant motion and solving a least-squares problem.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Cognitive manipulation effect
ⓘ
Fictional concept ⓘ Mind-affecting device ⓘ |
| activationMode | Passive continuous effect in most depictions ⓘ |
| appeal | Plays on real-world phenomena of not noticing obvious things ⓘ |
| audiencePerception | Understood as a plot device ⓘ |
| category |
Fictional mind control
ⓘ
Fictional technology ⓘ Plot device ⓘ |
| contrastWith |
Physical camouflage
ⓘ
True invisibility ⓘ |
| designGoal | Minimize disruption to surrounding environment while hiding targets ⓘ |
| doesNotRequire | Complete physical concealment ⓘ |
| effectOnHumans |
Causes people to overlook concealed targets
ⓘ
Prevents conscious registration of what is seen ⓘ Subtly manipulates human awareness ⓘ |
| genre | Science fiction ⓘ |
| hasProperty |
Often portable or wearable in fiction
ⓘ
Subtle rather than overt in effect ⓘ |
| influences | How characters navigate dangerous or restricted areas ⓘ |
| inUniverseTechnologyLevel | Advanced alien technology ⓘ |
| limitation |
Can be noticed indirectly or via recording in some depictions
ⓘ
Can fail if observer concentrates deliberately ⓘ |
| mechanismType |
Low-level cognitive interference
ⓘ
Psychological distraction ⓘ |
| medium | Television ⓘ |
| narrativeFunction |
Allow characters to remain effectively unseen in plain sight
ⓘ
Conceal objects or persons from conscious notice ⓘ |
| originatedInFranchise |
Doctor Who franchise
ⓘ
linked to:
Doctor Who expanded universe
|
| primaryUsersInCanon |
Companions of the Doctor
ⓘ
The Doctor ⓘ Torchwood Institute ⓘ
linked to:
Torchwood
|
| relatedConcept |
Cloaking device
ⓘ
Cognitive bias ⓘ Invisibility field ⓘ Perceptual blindness ⓘ Psychic paper ⓘ |
| requires | Presence of susceptible observers ⓘ |
| storyPurpose |
Enable covert movement of characters
ⓘ
Explain why extraordinary things are not widely noticed ⓘ |
| typicalUseCase |
Hiding doors
ⓘ
Hiding people ⓘ Hiding technology ⓘ |
| usedInWork |
Doctor Who
ⓘ
Torchwood ⓘ |
| visibilityStatus |
Does not make targets physically invisible
ⓘ
Relies on observer’s mind ignoring the target ⓘ |
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: Perception filter Description of subject: A perception filter is a fictional device or effect that subtly manipulates human awareness so that people overlook or fail to consciously notice whatever it is concealing.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.