Triple
T34010563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr Bold |
E872098
|
entity |
| Predicate | illustratorAssociated |
P158166
|
FINISHED |
| Object | David Roberts |
—
|
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: David Roberts | Statement: [Mr Bold, illustratorAssociated, David Roberts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustratorAssociated Context triple: [Mr Bold, illustratorAssociated, David Roberts]
-
A.
illustrator
Indicates that one entity serves as the illustrator (creator of visual artwork or drawings) for another entity, such as a book, article, or other work.
-
B.
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.
-
C.
adaptedFromIllustrator
Indicates that one entity is an adaptation or derivative work based on the illustrative work created by another entity.
-
D.
associatedWithDesign
Indicates that there is a connection or involvement between an entity and a particular design, design process, or design-related activity.
-
E.
laterIllustrator
Indicates that one entity served as an illustrator for a work or project at a later time than another referenced illustrator or illustration.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.