Triple
T19773534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allergan |
E474948
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Juvederm |
—
|
NE NERFINISHED |
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: Juvederm | Statement: [Allergan, product, Juvederm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juvederm Context triple: [Allergan, product, Juvederm]
-
A.
Juvederm
chosen
Juvederm is a popular line of hyaluronic acid-based dermal fillers used in cosmetic medicine to reduce wrinkles and add facial volume.
-
B.
Redermic
Redermic is a La Roche-Posay anti-aging skincare line formulated to target wrinkles, loss of firmness, and other visible signs of skin aging.
-
C.
SkinCeuticals
SkinCeuticals is a professional skincare brand known for science-backed, antioxidant-rich formulations widely used in dermatology and cosmetic practices.
-
D.
Hyalu B5 Serum
Hyalu B5 Serum is a hydrating facial serum, often associated with La Roche-Posay, formulated with hyaluronic acid and vitamin B5 to plump the skin and help repair the skin barrier.
-
E.
Dermablend
Dermablend is a professional-grade cosmetic brand known for its high-coverage, dermatologist-tested makeup products designed to conceal skin imperfections and provide long-lasting wear.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535e450c8190a2628245ae0d0bd3 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.