Triple
T30834621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illustrations for Edwin Drood |
E785326
|
entity |
| Predicate | illustrateAuthor |
P158166
|
FINISHED |
| Object | Charles Dickens |
—
|
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: Charles Dickens | Statement: [Illustrations for Edwin Drood, illustrateAuthor, Charles Dickens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustrateAuthor Context triple: [Illustrations for Edwin Drood, illustrateAuthor, Charles Dickens]
-
A.
laterIllustrator
Indicates that one entity served as an illustrator for a work or project at a later time than another referenced illustrator or illustration.
-
B.
oftenIllustratedBy
Indicates that something is frequently depicted, represented, or exemplified through a particular image, example, 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.
depictsAuthorOf
Indicates that one entity visually represents or portrays the person who is the author of another entity.
-
E.
illustratorOfOriginalLightNovel
Indicates that one entity is the illustrator who created the original artwork for a specific light novel.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:45 p.m.