Triple
T14117108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicks |
E339800
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Vicks VapoDrops |
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 VapoDrops | Statement: [Vicks, brandOf, Vicks VapoDrops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicks VapoDrops Context triple: [Vicks, brandOf, Vicks VapoDrops]
-
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.
Snoline
Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
-
C.
Mucinex
Mucinex is an over-the-counter expectorant medication, best known for helping relieve chest congestion by thinning and loosening mucus.
-
D.
Strepsils
Strepsils is a popular brand of medicated throat lozenges used to relieve sore throat and mouth infections.
-
E.
Tylenol
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
- 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_69fd19356478819083406440c22c38e2 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 9, 2026, 10:22 p.m.