Triple
T37888935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Berry |
E945071
|
entity |
| Predicate | knownForVisualThemes |
P176750
|
FINISHED |
| Object | futuristic imagery |
—
|
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: futuristic imagery | Statement: [Rick Berry, knownForVisualThemes, futuristic imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForVisualThemes Context triple: [Rick Berry, knownForVisualThemes, futuristic imagery]
-
A.
knownForVisualElement
chosen
Indicates that an entity is recognized or notable specifically for a particular visual feature, style, or design element.
-
B.
featuresThemeBy
Indicates that something (such as a work, event, or product) prominently includes or centers around a particular theme created or defined by a specified source or entity.
-
C.
shapeTheme
Indicates a relationship where one entity’s form, outline, or geometric characteristics serve as a central motif or organizing principle for another entity.
-
D.
isThemedTo
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another entity.
-
E.
dataTheme
Indicates the primary subject area or thematic category that the associated data pertains to.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.