Triple
T9839784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White House Down |
E239191
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | political action 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: political action thriller film Context triple: [White House Down, instanceOf, political action thriller film]
-
A.
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.
-
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.
American drama-thriller film
An American drama-thriller film is a U.S.-produced motion picture that combines emotionally driven storytelling with suspenseful, tension-filled plot elements to explore intense conflicts and psychological stakes.
-
D.
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.
-
E.
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.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:33 p.m.