Triple
T2473185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miller Brewing Company |
E55022
|
entity |
| Predicate | hasKeyBrand |
P11989
|
FINISHED |
| Object | Miller Lite |
E270794
|
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: Miller Lite | Statement: [Miller Brewing Company, hasKeyBrand, Miller Lite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miller Lite Context triple: [Miller Brewing Company, hasKeyBrand, Miller Lite]
-
A.
Miller Lite
chosen
Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
-
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.
Michelob
Michelob is a brand of American beer known for its lagers and light beers, brewed and marketed by Anheuser-Busch.
-
D.
Busch beer
Busch beer is a popular American lager known for its light, easy-drinking taste and association with the Anheuser-Busch brewing company.
-
E.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
- 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_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_69af2b7af0d4819080fda496670bc5d7 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:45 p.m.