Triple
T14117110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicks |
E339800
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Vicks NyQuil |
E339800
|
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: Vicks NyQuil | Statement: [Vicks, brandOf, Vicks NyQuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicks NyQuil Context triple: [Vicks, brandOf, Vicks NyQuil]
-
A.
Vicks
chosen
Vicks is a well-known over-the-counter healthcare brand recognized for its cold, cough, and flu relief products such as VapoRub and cough syrups.
-
B.
Tylenol
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
-
C.
Läkerol
Läkerol is a well-known Scandinavian brand of sugar-free pastilles and throat lozenges, recognized for its wide range of flavors and long-standing presence in Nordic confectionery.
-
D.
Mucinex
Mucinex is an over-the-counter expectorant medication, best known for helping relieve chest congestion by thinning and loosening mucus.
-
E.
Snoline
Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27ff5b7081908ab27d5851b274ea |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 9, 2026, 10:22 p.m.