Triple
T5822823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enemy of the State |
E129150
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | techno-thriller film |
C2135
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: techno-thriller film Context triple: [Enemy of the State, instanceOf, techno-thriller film]
-
A.
medical thriller film
A medical thriller film is a suspense-driven movie that centers on high-stakes medical settings, procedures, or experiments, often involving ethical dilemmas, deadly outbreaks, or sinister conspiracies within the healthcare or scientific world.
-
B.
legal thriller film
A legal thriller film is a suspense-driven movie that centers on courtroom drama, legal conflicts, and investigations, often involving high-stakes cases, moral ambiguity, and twists surrounding the pursuit of justice.
-
C.
espionage film
chosen
An espionage film is a movie genre that centers on spies, covert operations, and international intrigue, often involving political or military secrets, deception, and high-stakes missions.
-
D.
political war thriller film
A political war thriller film is a suspense-driven movie that intertwines high-stakes political intrigue with the tensions and dangers of warfare, often exploring espionage, power struggles, and moral ambiguity.
-
E.
psychological crime thriller film
A psychological crime thriller film is a suspense-driven movie that focuses on the mental and emotional states of characters involved in criminal activities, often blurring the line between reality and perception while unraveling complex mysteries.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
Created at: March 22, 2026, 3:53 p.m.