Regression
E760725
Regression is a 2015 psychological thriller film directed by Alejandro Amenábar, centered on a detective investigating a disturbing case of alleged satanic ritual abuse in 1990s Minnesota.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Regression canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T8824615 — 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: Regression Context triple: [Alejandro Amenábar, notableWork, Regression]
-
A.
LogisticRegression
LogisticRegression is a scikit-learn machine learning estimator that models the probability of class membership using a linear decision boundary with logistic (sigmoid) or related link functions.
-
B.
Bayesian linear regression
Bayesian linear regression is a statistical modeling approach that treats regression coefficients and predictions probabilistically by placing prior distributions on parameters and updating them with observed data.
-
C.
Linear Estimation
Linear Estimation is a foundational text in signal processing and control theory that systematically develops the theory and applications of optimal estimation, including Kalman filtering and related methods.
-
D.
PredictionEngine
PredictionEngine is an ML.NET API component that provides a simple, strongly typed interface for making single-record predictions with trained machine learning models in .NET applications.
-
E.
Gaussian process
A Gaussian process is a collection of random variables indexed by a set (often time or space) such that every finite subset has a joint multivariate normal distribution, widely used to model functions in probability theory and machine learning.
- 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: Regression Target entity description: Regression is a 2015 psychological thriller film directed by Alejandro Amenábar, centered on a detective investigating a disturbing case of alleged satanic ritual abuse in 1990s Minnesota.
-
A.
LogisticRegression
LogisticRegression is a scikit-learn machine learning estimator that models the probability of class membership using a linear decision boundary with logistic (sigmoid) or related link functions.
-
B.
Bayesian linear regression
Bayesian linear regression is a statistical modeling approach that treats regression coefficients and predictions probabilistically by placing prior distributions on parameters and updating them with observed data.
-
C.
Linear Estimation
Linear Estimation is a foundational text in signal processing and control theory that systematically develops the theory and applications of optimal estimation, including Kalman filtering and related methods.
-
D.
PredictionEngine
PredictionEngine is an ML.NET API component that provides a simple, strongly typed interface for making single-record predictions with trained machine learning models in .NET applications.
-
E.
Gaussian process
A Gaussian process is a collection of random variables indexed by a set (often time or space) such that every finite subset has a joint multivariate normal distribution, widely used to model functions in probability theory and machine learning.
- F. None of above. chosen
Statements (49)
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: Regression Description of subject: Regression is a 2015 psychological thriller film directed by Alejandro Amenábar, centered on a detective investigating a disturbing case of alleged satanic ritual abuse in 1990s Minnesota.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.