Triple

T7099653
Position Surface form Disambiguated ID Type / Status
Subject Corona E165422 entity
Predicate hasVariant P455 FINISHED
Object Corona Light
Corona Light is a light lager beer from the Corona brand, offering a lower-calorie, lower-alcohol alternative to its original counterpart.
E642746 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: Corona Light | Statement: [Corona, hasVariant, Corona Light]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corona Light
Context triple: [Corona, hasVariant, Corona Light]
  • A. Miller Lite
    Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
  • B. Bud Light
    Bud Light is a popular American light lager beer known for its mild flavor, low calorie content, and wide availability across the United States.
  • C. Carlby
    Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
  • D. Michelob
    Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
  • E. Carling
    Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
  • 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: Corona Light
Triple: [Corona, hasVariant, Corona Light]
Generated description
Corona Light is a light lager beer from the Corona brand, offering a lower-calorie, lower-alcohol alternative to its original counterpart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Corona Light
Target entity description: Corona Light is a light lager beer from the Corona brand, offering a lower-calorie, lower-alcohol alternative to its original counterpart.
  • A. Miller Lite
    Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
  • B. Bud Light
    Bud Light is a popular American light lager beer known for its mild flavor, low calorie content, and wide availability across the United States.
  • C. Carlby
    Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
  • D. Michelob
    Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
  • E. Carling
    Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e58531c88190a32746f9a97da709 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca6236c81908a7051bd00d0ca90 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79eb0d2cc8190a7f09708d8fa8cc0 completed March 28, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69c79f2d85388190b17dc918da7ae357 completed March 28, 2026, 9:28 a.m.
Created at: March 27, 2026, 2:42 p.m.