Triple
T30344918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | abec |
E771845
|
entity |
| Predicate | illustratedForAuthor |
P158166
|
FINISHED |
| Object | Reki Kawahara |
—
|
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: Reki Kawahara | Statement: [abec, illustratedForAuthor, Reki Kawahara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustratedForAuthor Context triple: [abec, illustratedForAuthor, Reki Kawahara]
-
A.
oftenIllustratedBy
Indicates that something is frequently depicted, represented, or exemplified through a particular image, example, or illustration.
-
B.
laterIllustrator
Indicates that one entity served as an illustrator for a work or project at a later time than another referenced illustrator or illustration.
-
C.
illustratorOf
chosen
Indicates that one entity serves as the illustrator or creator of the visual artwork for another entity, such as a book, article, or other work.
-
D.
depictedInAuthor
Indicates that an author is visually represented or portrayed within a particular work or depiction.
-
E.
hasIllustratedCharacters
Indicates that something includes or features characters that are depicted through illustrations.
- 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_69f682065a548190bff089d7dafbf3ad |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.