Triple
T30347228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisemonogatari |
E771898
|
entity |
| Predicate | firstLightNovelVolumeTitle |
—
|
GENERATED |
| Object | Karen Bee |
—
|
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: firstLightNovelVolumeTitle Context triple: [Nisemonogatari, firstLightNovelVolumeTitle, Karen Bee]
-
A.
lightNovelVolumeNumber
Indicates the specific volume number assigned to a light novel within its series.
-
B.
firstBookAlternateTitle
Indicates that a book’s earliest or primary edition is known by an alternative title distinct from its main title.
-
C.
firstSeriesTitle
Indicates the title of the first series in which the subject (such as a work, character, or franchise) appears or to which it belongs.
-
D.
firstWellKnownLiteraryVersionTitle
Indicates the title of the earliest widely recognized literary work in which the subject is prominently featured or described.
-
E.
firstReleaseTitle
chosen
Indicates the title associated with an entity’s initial or earliest release.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:56 p.m.