Triple
T20646784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelob Ultra Arena |
E507375
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Michelob Ultra
Michelob Ultra is a low-calorie light beer brand produced by Anheuser-Busch, marketed toward active, health-conscious consumers.
|
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 Ultra | Statement: [Michelob Ultra Arena, sponsor, Michelob Ultra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelob Ultra Context triple: [Michelob Ultra Arena, sponsor, Michelob Ultra]
-
A.
Michelob
Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
-
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.
Miller Lite
Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
-
D.
Snow Beer
Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
-
E.
Budweiser
Budweiser is a globally recognized American-style pale lager beer brand known for its mass-market appeal and extensive advertising, including iconic Clydesdale horse campaigns.
- 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 Ultra Triple: [Michelob Ultra Arena, sponsor, Michelob Ultra]
Generated description
Michelob Ultra is a low-calorie light beer brand produced by Anheuser-Busch, marketed toward active, health-conscious consumers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelob Ultra Target entity description: Michelob Ultra is a low-calorie light beer brand produced by Anheuser-Busch, marketed toward active, health-conscious consumers.
-
A.
Michelob
chosen
Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
-
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.
Miller Lite
Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
-
D.
Snow Beer
Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
-
E.
Budweiser
Budweiser is a globally recognized American-style pale lager beer brand known for its mass-market appeal and extensive advertising, including iconic Clydesdale horse campaigns.
- F. None of above.
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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1eee9c81908fd3b4fe8c4529c8 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c59142648190a5100ba4477dc83d |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c6877618819096a3621c19bfc9f2 |
completed | May 16, 2026, 7:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c70c109c8190b4b38ea86f963f38 |
completed | May 16, 2026, 7:35 p.m. |
Created at: April 16, 2026, 11:43 a.m.