Triple
T33462112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Rouletabille series |
E856945
|
entity |
| Predicate | hasProtagonistNameOrigin |
—
|
GENERATED |
| Object | French literature |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistNameOrigin Context triple: [Joseph Rouletabille series, hasProtagonistNameOrigin, French literature]
-
A.
characterNameOrigin
chosen
Indicates the source or inspiration from which a character’s name is derived.
-
B.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
C.
hasNameOrigin
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
D.
hasOriginalCharacterName
Indicates that an entity is associated with its initial or primary character name before any changes or adaptations.
-
E.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:37 a.m.