Triple
T36125330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glass: A Portrait of Philip in Twelve Parts |
E1044862
|
entity |
| Predicate | subjectStyle |
P94390
|
FINISHED |
| Object | minimalism |
—
|
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: minimalism | Statement: [Glass: A Portrait of Philip in Twelve Parts, subjectStyle, minimalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectStyle Context triple: [Glass: A Portrait of Philip in Twelve Parts, subjectStyle, minimalism]
-
A.
styleFor
chosen
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
B.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
C.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
D.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
E.
characterStyle
Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 3, 2026, 4:08 p.m.