Triple
T8186961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Burningham |
E191208
|
entity |
| Predicate | hasIllustrated |
P2761
|
FINISHED |
| Object | children's books by other authors |
—
|
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: children's books by other authors | Statement: [John Burningham, hasIllustrated, children's books by other authors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIllustrated Context triple: [John Burningham, hasIllustrated, children's books by other authors]
-
A.
hasIllustrations
Indicates that an entity includes or is accompanied by visual illustrations.
-
B.
hasIllustrationsBy
chosen
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
C.
hasIllustratedCharacters
Indicates that something includes or features characters that are depicted through illustrations.
-
D.
hasColorIllustrations
Indicates that an entity contains or includes illustrations rendered in color.
-
E.
numberOfIllustrations
Indicates the quantity of illustrations associated with or contained in an entity.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4d9e01208190842170abf62d9afb |
completed | March 31, 2026, 4:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:41 p.m.