Triple
T19773566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allergan |
E474948
|
entity |
| Predicate | hasSubsidiaryBrand |
P25079
|
FINISHED |
| Object | Allergan Aesthetics |
—
|
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: Allergan Aesthetics | Statement: [Allergan, hasSubsidiaryBrand, Allergan Aesthetics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allergan Aesthetics Context triple: [Allergan, hasSubsidiaryBrand, Allergan Aesthetics]
-
A.
Allergan
chosen
Allergan is a global pharmaceutical company best known for developing branded drugs and medical aesthetics products, including Botox.
-
B.
Juvederm
Juvederm is a popular line of hyaluronic acid-based dermal fillers used in cosmetic medicine to reduce wrinkles and add facial volume.
-
C.
SkinCeuticals
SkinCeuticals is a professional skincare brand known for science-backed, antioxidant-rich formulations widely used in dermatology and cosmetic practices.
-
D.
Beauty Inc
Beauty Inc is a beauty-focused media brand owned by Penske Media Corporation, covering trends, news, and analysis in the global cosmetics and personal care industry.
-
E.
Bausch + Lomb
Bausch + Lomb is a global eye health company best known for its contact lenses, lens care products, and ophthalmic pharmaceuticals.
- 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.