Tenet
E26890
Tenet is a 2020 science fiction action-thriller film written and directed by Christopher Nolan, known for its complex time-inversion concept and large-scale practical effects.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Tenet canonical | 27 |
| Tenet (2020 film) | 2 |
| Tenet (film) | 2 |
| Tenet (film score) | 1 |
| Tenet (franchise) | 1 |
| film Tenet | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T198866 — 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.
Target entity: Tenet Context triple: [Syncopy, produced, Tenet]
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A.
Edge of Tomorrow
Edge of Tomorrow is a 2014 science fiction action film starring Tom Cruise and Emily Blunt, featuring a time-looping soldier reliving a deadly alien invasion battle to change humanity’s fate.
-
B.
The Adjustment Bureau
The Adjustment Bureau is a 2011 science-fiction romantic thriller film about a politician who discovers a mysterious organization that controls fate, co-starring Emily Blunt and Matt Damon.
-
C.
Argo
Argo is a 2012 political thriller film directed by Ben Affleck that dramatizes a covert operation to rescue American hostages from Iran during the 1979–1981 crisis.
-
D.
Interstellar
Interstellar is a 2014 science fiction film directed by Christopher Nolan that follows a team of astronauts traveling through a wormhole to find a new habitable world for humanity.
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E.
Elysium
Elysium is the blissful afterlife realm in ancient Greek belief where especially virtuous or heroic souls enjoyed eternal happiness.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Tenet Target entity description: Tenet is a 2020 science fiction action-thriller film written and directed by Christopher Nolan, known for its complex time-inversion concept and large-scale practical effects.
-
A.
Edge of Tomorrow
Edge of Tomorrow is a 2014 science fiction action film starring Tom Cruise and Emily Blunt, featuring a time-looping soldier reliving a deadly alien invasion battle to change humanity’s fate.
-
B.
The Adjustment Bureau
The Adjustment Bureau is a 2011 science-fiction romantic thriller film about a politician who discovers a mysterious organization that controls fate, co-starring Emily Blunt and Matt Damon.
-
C.
Argo
Argo is a 2012 political thriller film directed by Ben Affleck that dramatizes a covert operation to rescue American hostages from Iran during the 1979–1981 crisis.
-
D.
Interstellar
Interstellar is a 2014 science fiction film directed by Christopher Nolan that follows a team of astronauts traveling through a wormhole to find a new habitable world for humanity.
-
E.
Elysium
Elysium is the blissful afterlife realm in ancient Greek belief where especially virtuous or heroic souls enjoyed eternal happiness.
- F. None of above. chosen
Statements (52)
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.
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.
Subject: Tenet Description of subject: Tenet is a 2020 science fiction action-thriller film written and directed by Christopher Nolan, known for its complex time-inversion concept and large-scale practical effects.
Referenced by (34)
Full triples — surface form annotated when it differs from this entity's canonical label.