Triple
T23383721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethan Brown |
E593819
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Beyond Meat |
—
|
NE NERFINISHED |
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: Beyond Meat | Statement: [Ethan Brown, employer, Beyond Meat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beyond Meat Context triple: [Ethan Brown, employer, Beyond Meat]
-
A.
Beyond Meat
chosen
Beyond Meat is a food company that produces plant-based meat alternatives designed to replicate the taste and texture of animal meat.
-
B.
Cargill Protein
Cargill Protein is a leading North American meat and poultry business unit of Cargill, focused on producing and supplying beef, turkey, and other protein products to retail, foodservice, and industrial customers.
-
C.
TreeHouse Foods
TreeHouse Foods is a major American food company that specializes in manufacturing private-label packaged foods and beverages for retailers and foodservice customers.
-
D.
Keystone Foods
Keystone Foods is a global food company best known as a major supplier of protein products, particularly chicken, to large quick-service restaurant chains and foodservice customers.
-
E.
Litehouse Foods
Litehouse Foods is an American company best known for producing refrigerated salad dressings, dips, and related food products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a496ae34819090e86c89eef6d2dc |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:34 p.m.