Triple
T2403680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenvue |
E50225
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Aveeno |
E50226
|
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: Aveeno | Statement: [Kenvue, ownsBrand, Aveeno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aveeno Context triple: [Kenvue, ownsBrand, Aveeno]
-
A.
Aveeno
chosen
Aveeno is a skincare and haircare brand known for using natural ingredients like colloidal oatmeal in products designed for sensitive and dry skin.
-
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.
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.
-
D.
Neutrogena
Neutrogena is a widely recognized skincare and cosmetics brand known for its dermatologist-recommended products, including facial cleansers, moisturizers, sunscreens, and acne treatments.
-
E.
Kiehl's
Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8f8aa2881909192920ee394f0b3 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e740c88190872aa1a7834d73b0 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:58 p.m.