Triple
T38114477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J’adore Absolu |
E951752
|
entity |
| Predicate | bottleDesignElement |
P64696
|
FINISHED |
| Object | golden tones |
—
|
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: golden tones | Statement: [J’adore Absolu, bottleDesignElement, golden tones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottleDesignElement Context triple: [J’adore Absolu, bottleDesignElement, golden tones]
-
A.
bottleDecorationDesigner
Indicates that an entity is the designer responsible for creating the decorative elements or visual design applied to a bottle.
-
B.
bottleFeature
chosen
Indicates that a bottle possesses or is characterized by a particular feature or attribute.
-
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.
bottlingMaterial
Indicates the material from which a container or bottle used for holding a product is made.
-
E.
hasBottleColor
Indicates that an entity is associated with a bottle characterized by a specific 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.