Triple
T11995479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Thewlis as Paul Verlaine |
E285517
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fictional representation of a real person |
C9422
|
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: fictional representation of a real person Context triple: [David Thewlis as Paul Verlaine, instanceOf, fictional representation of a real person]
-
A.
fictionalized portrayal of real person
chosen
A fictionalized portrayal of a real person is a narrative representation that alters or embellishes factual details of an actual individual’s life, personality, or experiences for creative or dramatic purposes.
-
B.
fictional persona
A fictional persona is an invented character with distinct traits, background, and motivations, created to embody perspectives or roles within a narrative or conceptual context.
-
C.
portrayal of historical figure
A portrayal of a historical figure represents the depiction, interpretation, or embodiment of a real person from the past through various media, emphasizing selected traits, actions, and contexts to convey a particular perspective or narrative.
-
D.
fictionalCharacterPortrayal
A fictionalCharacterPortrayal represents a specific depiction or interpretation of a fictional character within a particular work, adaptation, or performance context.
-
E.
fictionalCharacter
A fictionalCharacter is an invented person or being in a narrative work, defined by attributes, relationships, and actions that drive the story and embody its 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:46 p.m.