Triple
T1596613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anheuser-Busch Brewery |
E34295
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Michelob
Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
|
E184011
|
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: Michelob | Statement: [Anheuser-Busch Brewery, product, Michelob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelob Context triple: [Anheuser-Busch Brewery, product, Michelob]
-
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.
Carlby
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
C.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
D.
Heineken lager beer
Heineken lager beer is a globally recognized pale lager known for its distinctive green bottle, red star logo, and crisp, mildly bitter taste.
-
E.
Miller Brewing Company
Miller Brewing Company is a major American beer brewer best known for brands like Miller Lite and Miller High Life.
- 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: Michelob Triple: [Anheuser-Busch Brewery, product, Michelob]
Generated description
Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelob Target entity description: Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
-
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.
Carlby
Carlby is a small rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
C.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
D.
Heineken lager beer
Heineken lager beer is a globally recognized pale lager known for its distinctive green bottle, red star logo, and crisp, mildly bitter taste.
-
E.
Miller Brewing Company
Miller Brewing Company is a major American beer brewer best known for brands like Miller Lite and Miller High Life.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092e46748190b27be7d1aba07dff |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58c1d9ac819085e497b630a99d96 |
completed | March 8, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ad59f12e908190a1cec5f1fc4149d3 |
completed | March 8, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5a94c1488190a3853ffb8683d69c |
completed | March 8, 2026, 11:16 a.m. |
Created at: March 4, 2026, 7:27 p.m.