Triple
T1292563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Cosmetics Division |
E27578
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object | SkinCeuticals |
E30041
|
NE 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: SkinCeuticals | Statement: [Active Cosmetics Division, brandPortfolioIncludes, SkinCeuticals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SkinCeuticals Context triple: [Active Cosmetics Division, brandPortfolioIncludes, SkinCeuticals]
-
A.
SkinCeuticals
chosen
SkinCeuticals is a professional skincare brand known for science-backed, antioxidant-rich formulations widely used in dermatology and cosmetic practices.
-
B.
CeraVe
CeraVe is a dermatologist-developed skincare brand known for its ceramide-rich, fragrance-free products designed to restore and protect the skin barrier.
-
C.
Kiehl's
Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
-
D.
La Roche-Posay
La Roche-Posay is a French dermatological skincare brand known for its sensitive-skin-friendly formulas developed with thermal spring water and widely recommended by dermatologists.
-
E.
Biotherm
Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4c48bec548190b25d4a74b323cc1b |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbae7182081908b7045a15a2275d8 |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.