Triple
T7538759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Taylor |
E178216
|
entity |
| Predicate | hasFragranceType |
P10884
|
FINISHED |
| Object | floral fragrances |
—
|
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: floral fragrances | Statement: [House of Taylor, hasFragranceType, floral fragrances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFragranceType Context triple: [House of Taylor, hasFragranceType, floral fragrances]
-
A.
hasFragrance
Indicates that one entity possesses or emits a particular scent or aroma associated with another entity.
-
B.
hasFragranceLine
Indicates that one entity (typically a brand or company) offers or is associated with a particular line or collection of fragrances.
-
C.
olfactoryFamily
chosen
Indicates a relationship where one entity belongs to, or is categorized within, a particular olfactory family or scent classification defined by the other entity.
-
D.
olfactoryStyle
Indicates a relationship where one entity’s characteristic way of perceiving, using, or expressing smell is associated with or attributed to another entity.
-
E.
senseOfSmell
Indicates that one entity has the ability to detect or perceive odors or scents through the sense of smell.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f87280f0819097d4ffc2e1b62cf8 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.