Triple

T2473148
Position Surface form Disambiguated ID Type / Status
Subject Miller Brewing Company E55022 entity
Predicate product P490 FINISHED
Object Miller Lite
Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
 E270794 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: Miller Lite | Statement: [Miller Brewing Company, product, Miller Lite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miller Lite
Context triple: [Miller Brewing Company, product, Miller Lite]
  • A. 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.
  • B. Michelob
    Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
  • C. Busch beer
    Busch beer is a popular American lager known for its light, easy-drinking taste and association with the Anheuser-Busch brewing company.
  • D. Carling
    Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
  • E. Carlby
    Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
  • 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: Miller Lite
Triple: [Miller Brewing Company, product, Miller Lite]
Generated description
Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miller Lite
Target entity description: Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
  • A. 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.
  • B. Michelob
    Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
  • C. Busch beer
    Busch beer is a popular American lager known for its light, easy-drinking taste and association with the Anheuser-Busch brewing company.
  • D. Carling
    Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
  • E. Carlby
    Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd149c10c819098ff75f176972c8b completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a8d87c819084637958a5dc4028 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1b3bb8908190a48c6190f9f9a488 completed March 9, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69af1c404d248190b4444eaed46e63da completed March 9, 2026, 7:15 p.m.
Created at: March 6, 2026, 9:45 p.m.