Triple
T10471265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trust Me |
E246927
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medical thriller television series |
C28077
|
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: medical thriller television series Context triple: [Trust Me, instanceOf, medical thriller television series]
-
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.
crime thriller television series
A crime thriller television series is a suspense-driven show that follows investigations into serious offenses, often featuring complex characters, high-stakes mysteries, and tense, twist-filled storytelling.
-
C.
spy drama television series
A spy drama television series is a serialized show that follows intelligence agents and covert operatives as they navigate espionage, political intrigue, and personal conflicts in high-stakes, suspenseful missions.
-
D.
spy-fi television series
A spy-fi television series is a show that blends espionage and secret-agent tropes with science fiction elements such as advanced technology, futuristic settings, or speculative concepts.
-
E.
mystery-comedy television series
A mystery-comedy television series blends whodunit-style investigations with humorous characters and situations, using lighthearted tone and comedic twists to explore and resolve puzzling crimes or secrets.
- F. None of above. chosen
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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 12:20 p.m.