Triple

T11427836
Position Surface form Disambiguated ID Type / Status
Subject Molson Coors Beverage Company E270798 entity
Predicate hasBrand P1500 FINISHED
Object Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
 E924847 NE FINISHED

How this triple was built (4 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: Vizzy | Statement: [Molson Coors Beverage Company, hasBrand, Vizzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vizzy
Context triple: [Molson Coors Beverage Company, hasBrand, Vizzy]
  • A. ZIPPY
    ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
  • B. Zeebo
    Zeebo was a Brazil-focused, low-cost 3G-enabled video game console designed to bring digital gaming to emerging markets.
  • C. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • D. Zap
    Zap is the energetic mascot character for the former WNBA team the Detroit Shock, known for entertaining fans at games with lively antics and team spirit.
  • E. Blisco
    Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vizzy
Triple: [Molson Coors Beverage Company, hasBrand, Vizzy]
Generated description
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vizzy
Target entity description: Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
  • A. ZIPPY
    ZIPPY is the radio callsign used by ZIPAIR Tokyo, a Japanese low-cost airline based at Tokyo Narita Airport.
  • B. Zeebo
    Zeebo was a Brazil-focused, low-cost 3G-enabled video game console designed to bring digital gaming to emerging markets.
  • C. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • D. Zap
    Zap is the energetic mascot character for the former WNBA team the Detroit Shock, known for entertaining fans at games with lively antics and team spirit.
  • E. Blisco
    Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
  • F. None of above. chosen

Provenance (5 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8d923688190bb4d61d57768e10e completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.