Triple
T30349626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA Bunko |
E771955
|
entity |
| Predicate | hasAdaptationsOfWorks |
P162590
|
FINISHED |
| Object | anime |
—
|
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: anime | Statement: [GA Bunko, hasAdaptationsOfWorks, anime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationsOfWorks Context triple: [GA Bunko, hasAdaptationsOfWorks, anime]
-
A.
hasAdaptationsOfWorksIn
Indicates that an entity includes or contains adaptations of works that originate from another specified entity or context.
-
B.
hasAdaptationsIn
chosen
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
C.
collaboratedOnAdaptationOf
Indicates that two or more entities worked together on creating or producing an adaptation of an existing work.
-
D.
adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
E.
hasNotableAdaptationBy
Indicates that an original work has a significant adaptation created by the specified adapting entity (such as a person, group, or organization).
- 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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 7:56 p.m.