Triple
T30383030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakemonogatari |
E772877
|
entity |
| Predicate | lightNovelEnglishPublisher |
P171074
|
FINISHED |
| Object | Vertical |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vertical | Statement: [Bakemonogatari, lightNovelEnglishPublisher, Vertical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightNovelEnglishPublisher Context triple: [Bakemonogatari, lightNovelEnglishPublisher, Vertical]
-
A.
lightNovelPublisherLabel
chosen
Indicates that an entity serves as the publishing company responsible for releasing a particular light novel.
-
B.
lightNovelMainImprintRunEndYear
Indicates the calendar year in which the main imprint’s publication run of the light novel ended.
-
C.
lightNovelPublisherCountry
Indicates the country in which the publisher of a given light novel is based.
-
D.
mangaPublisherEnglish
Indicates that an entity serves as the English-language publisher of a given manga.
-
E.
lightNovelMagazine
Indicates that a light novel is published in or associated with a particular magazine.
- F. None of above.
Provenance (3 batches)
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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 8:01 p.m.