Triple
T37467454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuse |
E931065
|
entity |
| Predicate | artStyleChange |
P116832
|
FINISHED |
| Object | from stylized to more realistic during development |
—
|
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: from stylized to more realistic during development | Statement: [Fuse, artStyleChange, from stylized to more realistic during development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artStyleChange Context triple: [Fuse, artStyleChange, from stylized to more realistic during development]
-
A.
stylingTool
Indicates a tool or instrument used to style, shape, or arrange something (typically hair, clothing, or design elements).
-
B.
alterationStyles
Indicates the styles, methods, or types of modifications or alterations applied to an entity.
-
C.
artisticStyle
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
D.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
E.
characterVisualStyle
chosen
Indicates the visual design or aesthetic style applied to a character, such as their overall look, art style, or graphical presentation.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.