Triple
T33235201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Abbess (plate) |
E850806
|
entity |
| Predicate | visualContrastBetween |
P123206
|
FINISHED |
| Object | ecclesiastical dignity and skeletal Death |
—
|
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: ecclesiastical dignity and skeletal Death | Statement: [The Abbess (plate), visualContrastBetween, ecclesiastical dignity and skeletal Death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualContrastBetween Context triple: [The Abbess (plate), visualContrastBetween, ecclesiastical dignity and skeletal Death]
-
A.
contrastRatio
Indicates the proportional difference in luminance or intensity between two visual elements being compared.
-
B.
providesContrastWith
chosen
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
C.
achievesContrast
Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
-
D.
hasDensityContrast
Indicates that one entity differs from another in material density, highlighting a contrast in how compact or dense they are.
-
E.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:31 a.m.