Halt and Catch Fire
E336177
Halt and Catch Fire is a critically acclaimed drama television series about a group of innovators navigating the early personal computing and internet boom of the 1980s and 1990s.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Halt and Catch Fire canonical | 33 |
| Halt and Catch Fire score | 1 |
| Halt and Catch Fire season 1 episode 1 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3191849 — 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: Halt and Catch Fire Context triple: [Lee Pace, notableWork, Halt and Catch Fire]
-
A.
Black Mirror
Black Mirror is a British science fiction anthology television series that explores the dark and often dystopian consequences of modern and near-future technology on society and human behavior.
-
B.
Mr. Robot
Mr. Robot is a critically acclaimed psychological thriller television series about a socially anxious hacker drawn into an underground cyber-activist group.
-
C.
Westworld
Westworld is a science fiction television series that explores artificial intelligence, consciousness, and morality within a technologically advanced Wild West–themed amusement park.
-
D.
Person of Interest
Person of Interest is a science fiction crime drama television series that follows a reclusive billionaire and a former CIA operative who use an advanced surveillance AI to prevent violent crimes in New York City.
-
E.
Billions
Billions is an American drama television series that explores the power struggles and legal battles between a U.S. Attorney and a hedge fund billionaire in New York's high-finance world.
- 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: Halt and Catch Fire Target entity description: Halt and Catch Fire is a critically acclaimed drama television series about a group of innovators navigating the early personal computing and internet boom of the 1980s and 1990s.
-
A.
Black Mirror
Black Mirror is a British science fiction anthology television series that explores the dark and often dystopian consequences of modern and near-future technology on society and human behavior.
-
B.
Mr. Robot
Mr. Robot is a critically acclaimed psychological thriller television series about a socially anxious hacker drawn into an underground cyber-activist group.
-
C.
Westworld
Westworld is a science fiction television series that explores artificial intelligence, consciousness, and morality within a technologically advanced Wild West–themed amusement park.
-
D.
Person of Interest
Person of Interest is a science fiction crime drama television series that follows a reclusive billionaire and a former CIA operative who use an advanced surveillance AI to prevent violent crimes in New York City.
-
E.
Billions
Billions is an American drama television series that explores the power struggles and legal battles between a U.S. Attorney and a hedge fund billionaire in New York's high-finance world.
- F. None of above. chosen
Statements (50)
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: Halt and Catch Fire Description of subject: Halt and Catch Fire is a critically acclaimed drama television series about a group of innovators navigating the early personal computing and internet boom of the 1980s and 1990s.
Referenced by (35)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Halt and Catch Fire
subject linked to:
Jonathan Lisco (TV adaptation developer)
subject linked to:
Gordon Clark in Halt and Catch Fire
subject linked to:
Gordon Clark in Halt and Catch Fire
linked to: Halt and Catch Fire
subject linked to:
John