Triple
T25795996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primroze |
E649683
|
entity |
| Predicate | stylizedVariantOf |
P89719
|
FINISHED |
| Object | Primrose |
—
|
NE NERFINISHED |
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: Primrose | Statement: [Primroze, stylizedVariantOf, Primrose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylizedVariantOf Context triple: [Primroze, stylizedVariantOf, Primrose]
-
A.
iconographicVariantOf
Indicates that one representation is an alternative visual or stylistic depiction of the same subject as another representation.
-
B.
styleVariants
chosen
Indicates that an entity has alternative stylistic forms or versions related to it.
-
C.
symbolVariant
Indicates that one symbol is an alternative graphical or stylistic form of another symbol.
-
D.
iconographicVariant
Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
-
E.
customizedVariantOf
Indicates that one entity is a modified or tailored version derived from another, preserving a core basis while introducing specific customizations.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 6:30 a.m.