Triple
T37805066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty (The Wolf Among Us) |
E942478
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fairy tale character adaptation |
C63431
|
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: fairy tale character adaptation Context triple: [Beauty (The Wolf Among Us), instanceOf, fairy tale character adaptation]
-
A.
children’s book adaptation
A children’s book adaptation is a reimagined version of an original children’s story, transformed into another medium or format (such as film, theater, or graphic novel) while preserving its core narrative and themes for young audiences.
-
B.
fairy tale
A fairy tale is a short, traditional story featuring magical events, fantastical creatures, and moral lessons, often intended for children.
-
C.
adaptation of Aesop's fables
A creative reinterpretation of Aesop's fables that preserves their core moral lessons while updating characters, settings, or narrative style to resonate with contemporary audiences.
-
D.
short story adaptation
A short story adaptation is a reimagined version of an existing short story, transformed into another medium or format (such as film, theater, or a different literary style) while retaining its core narrative elements and themes.
-
E.
character in children’s literature
A character in children’s literature is a fictional person, animal, or imaginative being whose actions, traits, and development drive the story and convey themes, lessons, or emotional experiences appropriate for young readers.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.