Triple
T25871337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | illustrations for "The Boy's Pastimes" |
E651763
|
entity |
| Predicate | showsVisualStyle |
P61564
|
FINISHED |
| Object | strong sense of action |
—
|
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: strong sense of action | Statement: [illustrations for "The Boy's Pastimes", showsVisualStyle, strong sense of action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsVisualStyle Context triple: [illustrations for "The Boy's Pastimes", showsVisualStyle, strong sense of action]
-
A.
typicalVisualStyle
chosen
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
-
B.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
C.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
D.
hasVisuals
Indicates that one entity includes, displays, or is associated with visual elements or imagery related to another entity.
-
E.
visuallyDefines
Indicates that one entity establishes or clarifies the appearance, form, or visual characteristics of another 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602dcb8348190a5507f570b54da5f |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:11 a.m.