Triple

T23383734
Position Surface form Disambiguated ID Type / Status
Subject Ethan Brown E593819 entity
Predicate notableCompany P4120 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, notableCompany, Beyond Meat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beyond Meat
Context triple: [Ethan Brown, notableCompany, 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.