Triple
T30012477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George and the Blue Moon |
E762503
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | science-themed novel |
C46212
|
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: science-themed novel Context triple: [George and the Blue Moon, instanceOf, science-themed novel]
-
A.
science-in-fiction novel
chosen
A science-in-fiction novel is a narrative that foregrounds real scientific concepts, methods, or communities as central drivers of plot and character, while remaining primarily a work of imaginative fiction rather than speculative science.
-
B.
science fiction novel
A science fiction novel is a long-form narrative that explores speculative futures, advanced technologies, or alternative realities to examine their impact on individuals, societies, and the nature of existence.
-
C.
science fantasy novella
A science fantasy novella is a short, focused work of fiction that blends advanced technology and scientific concepts with magical or supernatural elements in a richly imaginative setting.
-
D.
science fiction novelette
A science fiction novelette is a mid-length speculative narrative, typically between a short story and a novella, that explores futuristic, technological, or otherworldly concepts with enough scope to develop complex ideas and characters.
-
E.
science fantasy work
A science fantasy work is a narrative that blends advanced scientific or technological elements with magical, mythical, or supernatural components in a single cohesive setting or storyline.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:44 p.m.