Triple
T30208365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle Dracula |
E767999
|
entity |
| Predicate | firstVisitorInNovel |
—
|
GENERATED |
| Object | Jonathan Harker |
—
|
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: firstVisitorInNovel Context triple: [Castle Dracula, firstVisitorInNovel, Jonathan Harker]
-
A.
firstAppearanceBook
Indicates the book in which an entity (such as a character or concept) is first introduced or appears.
-
B.
isFirstCompletedNovelBy
Indicates that the object is the first novel ever completed by the subject.
-
C.
firstAppearanceChapter
Indicates the chapter in which an entity (such as a character, item, or concept) is first introduced or appears in a work.
-
D.
hasProtagonistInFirstVolume
Indicates that a work’s first volume features a specific entity as its main character.
-
E.
firstAppearanceStory
Indicates the story in which an entity is depicted or mentioned for the first time.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:32 p.m.