Triple
T1673748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blind Girl |
E36182
|
entity |
| Predicate | hasVisualContrast |
P7994
|
FINISHED |
| Object | blindness versus vivid natural scene |
—
|
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: blindness versus vivid natural scene | Statement: [The Blind Girl, hasVisualContrast, blindness versus vivid natural scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualContrast Context triple: [The Blind Girl, hasVisualContrast, blindness versus vivid natural scene]
-
A.
hasMainContrast
Indicates a primary opposing or differing relationship between two elements, highlighting the main point of contrast between them.
-
B.
themeContrast
chosen
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
C.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
D.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
E.
hasCrossColor
Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.