Triple
T30343852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Dress-Up Darling |
E771822
|
entity |
| Predicate | mangaPublisherEnglish |
P169732
|
FINISHED |
| Object | Square Enix Manga & Books |
—
|
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: Square Enix Manga & Books | Statement: [My Dress-Up Darling, mangaPublisherEnglish, Square Enix Manga & Books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mangaPublisherEnglish Context triple: [My Dress-Up Darling, mangaPublisherEnglish, Square Enix Manga & Books]
-
A.
mangaMagazine
Indicates that a manga work is serialized in or associated with a particular manga magazine.
-
B.
mangaka
Indicates that a person is the creator (author and usually illustrator) of a manga work.
-
C.
mangaVolumes
Indicates a relationship where a manga work is associated with the number or set of its published volumes.
-
D.
publisherJapaneseEdition
Indicates that an entity serves as the publisher responsible for the Japanese edition of another work or resource.
-
E.
lightNovelMagazine
Indicates that a light novel is published in or associated with a particular magazine.
- F. None of above. chosen
Provenance (4 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_69f682065a548190bff089d7dafbf3ad |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 7:55 p.m.