Triple
T4362546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Graphic |
E98693
|
entity |
| Predicate | illustrationTechnique |
P14965
|
FINISHED |
| Object | wood engraving |
—
|
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: wood engraving | Statement: [The Graphic, illustrationTechnique, wood engraving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustrationTechnique Context triple: [The Graphic, illustrationTechnique, wood engraving]
-
A.
artisticTechnique
chosen
Indicates the method, style, or process used to create or execute an artistic work.
-
B.
draws
Indicates that one entity creates a visual representation or image of another entity.
-
C.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
-
D.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e5ee308190a9271e73689b4a2b |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.