Triple
T17617629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrier-Jouët |
E429125
|
entity |
| Predicate | bottleDecorationMotif |
P86416
|
FINISHED |
| Object | white anemone flowers |
—
|
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: white anemone flowers | Statement: [Perrier-Jouët, bottleDecorationMotif, white anemone flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottleDecorationMotif Context triple: [Perrier-Jouët, bottleDecorationMotif, white anemone flowers]
-
A.
bottleFeature
Indicates that a bottle possesses or is characterized by a particular feature or attribute.
-
B.
hasBottleColor
Indicates that an entity is associated with a bottle characterized by a specific color.
-
C.
perfumeBottleDesign
Indicates a design relationship in which one entity is the specific aesthetic or structural design of a perfume bottle associated with another entity.
-
D.
ornamentationStyle
chosen
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
E.
decorationShape
Indicates the geometric or visual form that a decorative element or ornament takes in relation to the object it adorns.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d33a2b081908deecee773c333af |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.