Triple
T29347692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Malic Moulds |
E744214
|
entity |
| Predicate | iconographicLevel |
P166667
|
FINISHED |
| Object | bachelor apparatus |
—
|
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: bachelor apparatus | Statement: [Nine Malic Moulds, iconographicLevel, bachelor apparatus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicLevel Context triple: [Nine Malic Moulds, iconographicLevel, bachelor apparatus]
-
A.
iconographicComplexity
Indicates the degree to which an image or visual representation contains multiple layers of symbols, motifs, and visual elements that contribute to its interpretive richness.
-
B.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
D.
iconographicRepresentation
Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
-
E.
iconographyStatus
Indicates the current condition, completeness, or interpretive state of an entity’s iconographic representation.
- F. None of above. chosen
Provenance (4 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6695868ec8190acc362e10b252ace |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:03 p.m.