Triple
T37866085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent de Premierfait’s French De casibus translation |
E944472
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | adaptation of classical literature |
C54202
|
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: adaptation of classical literature Context triple: [Laurent de Premierfait’s French De casibus translation, instanceOf, adaptation of classical literature]
-
A.
classical literature
Classical literature encompasses the enduring works of ancient Greek and Roman authors, as well as later canonical texts, that have significantly shaped Western thought, art, and literary tradition.
-
B.
adapter of literature
An adapter of literature is a creator who transforms written works into new formats or mediums—such as film, theater, audio, or visual art—while interpreting and reshaping the original text for a different audience or context.
-
C.
adaptation of a play
An adaptation of a play is a reimagined version of an original theatrical work, transformed into a different medium, style, or context while retaining core narrative elements and themes.
-
D.
adaptation of written work
chosen
An adaptation of written work is a creative reinterpretation that transforms an original text—such as a novel, play, or article—into a new medium, format, or style while retaining core narrative elements or themes.
-
E.
adaptation of novel
An adaptation of a novel is a creative work that transforms a written narrative into another medium—such as film, television, or theater—while interpreting, condensing, or reimagining its characters, plot, and themes.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.