Triple

T14117107
Position Surface form Disambiguated ID Type / Status
Subject Vicks E339800 entity
Predicate brandOf P1500 FINISHED
Object Vicks cough syrup 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 cough syrup | Statement: [Vicks, brandOf, Vicks cough syrup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicks cough syrup
Context triple: [Vicks, brandOf, Vicks cough syrup]
  • 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. Mucinex
    Mucinex is an over-the-counter expectorant medication, best known for helping relieve chest congestion by thinning and loosening mucus.
  • 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. Tylenol
    Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
  • 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_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.