Triple
T20646815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelob Ultra Arena |
E507375
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Michelob Ultra beer brand |
—
|
NE NERFINISHED |
How this triple was built (2 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 beer brand | Statement: [Michelob Ultra Arena, namedAfter, Michelob Ultra beer brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelob Ultra beer brand Context triple: [Michelob Ultra Arena, namedAfter, Michelob Ultra beer brand]
-
A.
Michelob
chosen
Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
-
B.
Snow Beer
Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
-
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.
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.
-
E.
Leinenkugel’s Red Lager
Leinenkugel’s Red Lager is an American amber lager known for its smooth, malty flavor with a subtle caramel sweetness and a crisp, easy-drinking finish.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:43 a.m.