Triple
T11427878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SABMiller |
E270799
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object |
Snow Beer
Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
|
E931714
|
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: Snow Beer | Statement: [SABMiller, ownedBrand, Snow Beer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snow Beer Context triple: [SABMiller, ownedBrand, Snow Beer]
-
A.
Busch beer
Busch beer is a popular American lager known for its light, easy-drinking taste and association with the Anheuser-Busch brewing company.
-
B.
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.
-
C.
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.
-
D.
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.
-
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. 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: Snow Beer Triple: [SABMiller, ownedBrand, Snow Beer]
Generated description
Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snow Beer Target entity description: Snow Beer is a popular Chinese lager that has become one of the world’s best-selling beer brands by volume.
-
A.
Busch beer
Busch beer is a popular American lager known for its light, easy-drinking taste and association with the Anheuser-Busch brewing company.
-
B.
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.
-
C.
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.
-
D.
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.
-
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. 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c000b88190bfaa646b2dc424b7 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e684e29a6c8190910b1c6f717d6c5e |
completed | April 20, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69e68fd6b6088190b24f552b5afc3f55 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7a31b4081909b06bc9b6d0a1617 |
completed | April 20, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:35 p.m.