Triple
T30382982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakemonogatari |
E772877
|
entity |
| Predicate | lightNovelVolumeTitle |
P100508
|
FINISHED |
| Object | Bakemonogatari Part 1 |
—
|
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: Bakemonogatari Part 1 | Statement: [Bakemonogatari, lightNovelVolumeTitle, Bakemonogatari Part 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightNovelVolumeTitle Context triple: [Bakemonogatari, lightNovelVolumeTitle, Bakemonogatari Part 1]
-
A.
lightNovelLabel
Indicates that a work is labeled or classified as a light novel.
-
B.
lightNovelMainImprintRunEndYear
Indicates the calendar year in which the main imprint’s publication run of the light novel ended.
-
C.
lightNovelVolumesCount
Indicates the number of volumes that exist for a given light novel.
-
D.
lightNovelPublisherLabel
Indicates that an entity serves as the publishing company responsible for releasing a particular light novel.
-
E.
titleOfBook
chosen
Indicates that one entity is the title assigned to a particular book.
- 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_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 8:01 p.m.