Triple
T7099652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corona |
E165422
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Corona Extra
Corona Extra is a popular pale lager beer from Mexico, widely recognized for its light, crisp taste and often served with a wedge of lime.
|
E642745
|
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: Corona Extra | Statement: [Corona, hasVariant, Corona Extra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corona Extra Context triple: [Corona, hasVariant, Corona Extra]
-
A.
Miller Lite
Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
-
B.
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.
-
C.
Dos Equis Lager Especial
Dos Equis Lager Especial is a popular Mexican pale lager beer known for its light, crisp taste and wide international distribution.
-
D.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
E.
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.
- 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: Corona Extra Triple: [Corona, hasVariant, Corona Extra]
Generated description
Corona Extra is a popular pale lager beer from Mexico, widely recognized for its light, crisp taste and often served with a wedge of lime.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corona Extra Target entity description: Corona Extra is a popular pale lager beer from Mexico, widely recognized for its light, crisp taste and often served with a wedge of lime.
-
A.
Miller Lite
Miller Lite is a popular American light beer brand known for its lower calorie content and wide availability.
-
B.
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.
-
C.
Dos Equis Lager Especial
Dos Equis Lager Especial is a popular Mexican pale lager beer known for its light, crisp taste and wide international distribution.
-
D.
Grolsch
Grolsch is a Dutch brewery best known for its distinctive swing-top bottled beers and long-standing presence in the international beer market.
-
E.
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.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58531c88190a32746f9a97da709 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca6236c81908a7051bd00d0ca90 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79eb0d2cc8190a7f09708d8fa8cc0 |
completed | March 28, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79f2d85388190b17dc918da7ae357 |
completed | March 28, 2026, 9:28 a.m. |
Created at: March 27, 2026, 2:42 p.m.