Triple
T30343856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Dress-Up Darling |
E771822
|
entity |
| Predicate | mangaVolumesCount |
P169402
|
FINISHED |
| Object | 10+ |
—
|
LITERAL FINISHED |
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: 10+ | Statement: [My Dress-Up Darling, mangaVolumesCount, 10+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mangaVolumesCount Context triple: [My Dress-Up Darling, mangaVolumesCount, 10+]
-
A.
mangaVolumes
chosen
Indicates a relationship where a manga work is associated with the number or set of its published volumes.
-
B.
lightNovelVolumesCount
Indicates the number of volumes that exist for a given light novel.
-
C.
mangaMagazine
Indicates that a manga work is serialized in or associated with a particular manga magazine.
-
D.
mangaPublisherEnglish
Indicates that an entity serves as the English-language publisher of a given manga.
-
E.
mainSeriesIssueCount
Indicates the total number of issues contained in the primary or main series associated with an entity.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 7:55 p.m.