Triple
T26343949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Opium Le Parfum |
E662725
|
entity |
| Predicate | hasBottleDesignFeature |
P64696
|
FINISHED |
| Object | glitter finish |
—
|
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: glitter finish | Statement: [Black Opium Le Parfum, hasBottleDesignFeature, glitter finish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBottleDesignFeature Context triple: [Black Opium Le Parfum, hasBottleDesignFeature, glitter finish]
-
A.
bottleFeature
chosen
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.
bottleDecorationDesigner
Indicates that an entity is the designer responsible for creating the decorative elements or visual design applied to a bottle.
-
D.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
bottlingType
Indicates the specific method or style in which a liquid product is bottled or packaged.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 26, 2026, 10:41 p.m.