Triple
T1292539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professional Products Division |
E27577
|
entity |
| Predicate | productPositioning |
P5254
|
FINISHED |
| Object | salon-exclusive |
—
|
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: salon-exclusive | Statement: [Professional Products Division, productPositioning, salon-exclusive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productPositioning Context triple: [Professional Products Division, productPositioning, salon-exclusive]
-
A.
brandPositioning
chosen
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
-
B.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
C.
brandStrategy
Indicates the relationship in which a brand defines and guides how it will be positioned, communicated, and differentiated in the market to achieve its business goals.
-
D.
marketPosition
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
E.
productStyle
Indicates the stylistic category or design theme that characterizes a product.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.