Triple
T2403683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenvue |
E50225
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Nicoderm CQ |
E262877
|
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: Nicoderm CQ | Statement: [Kenvue, ownsBrand, Nicoderm CQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicoderm CQ Context triple: [Kenvue, ownsBrand, Nicoderm CQ]
-
A.
Nicorette
chosen
Nicorette is a leading nicotine replacement therapy brand offering products like gum, lozenges, and patches to help people quit smoking.
-
B.
Denesuline
Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
-
C.
Listerine
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
-
D.
Novafora
Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
-
E.
Lamotrek
Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
- 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_69aebf403f74819082dc50e31f29b171 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:58 p.m.