Triple
T7891795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AB InBev |
E183252
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Michelob Ultra |
E184011
|
NE FINISHED |
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 | Statement: [AB InBev, brand, Michelob Ultra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelob Ultra Context triple: [AB InBev, brand, Michelob Ultra]
-
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.
Budweiser
Budweiser is the informal nickname for the U.S. Navy SEAL Trident insignia, symbolizing a SEAL’s qualification and membership in the elite special operations force.
-
E.
Coors Light
Coors Light is a popular American light lager beer known for its crisp taste and cold-activated “mountain” branding.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.