Triple
T11427892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SABMiller |
E270799
|
entity |
| Predicate | majorShareholderOf |
P14887
|
FINISHED |
| Object |
CR Snow
CR Snow is a leading Chinese brewing company best known for producing Snow Beer, one of the world’s top-selling beer brands.
|
E924855
|
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: CR Snow | Statement: [SABMiller, majorShareholderOf, CR Snow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CR Snow Context triple: [SABMiller, majorShareholderOf, CR Snow]
-
A.
Ross Grayson Bell
Ross Grayson Bell is a film producer best known for his work on the cult classic movie "Fight Club."
-
B.
Stephen Snow
Stephen Snow was a descendant of early Plymouth Colony settler Constance Hopkins, linking him to one of the founding families of colonial New England.
-
C.
Suzanne Collins
Suzanne Collins is an American author best known for writing the bestselling dystopian young adult series "The Hunger Games."
-
D.
Cressida Cowell
Cressida Cowell is a British children's author and illustrator best known for her "How to Train Your Dragon" book series, which inspired the popular animated film franchise.
-
E.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
- 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: CR Snow Triple: [SABMiller, majorShareholderOf, CR Snow]
Generated description
CR Snow is a leading Chinese brewing company best known for producing Snow Beer, one of the world’s top-selling beer brands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CR Snow Target entity description: CR Snow is a leading Chinese brewing company best known for producing Snow Beer, one of the world’s top-selling beer brands.
-
A.
Ross Grayson Bell
Ross Grayson Bell is a film producer best known for his work on the cult classic movie "Fight Club."
-
B.
Stephen Snow
Stephen Snow was a descendant of early Plymouth Colony settler Constance Hopkins, linking him to one of the founding families of colonial New England.
-
C.
Suzanne Collins
Suzanne Collins is an American author best known for writing the bestselling dystopian young adult series "The Hunger Games."
-
D.
Cressida Cowell
Cressida Cowell is a British children's author and illustrator best known for her "How to Train Your Dragon" book series, which inspired the popular animated film franchise.
-
E.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
- 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_69e5b8d923688190bb4d61d57768e10e |
completed | April 20, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69e5c28e2dd481909b45a43b5825f393 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c4722c348190a4c49edb1f6df240 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:35 p.m.