Triple

T6460126
Position Surface form Disambiguated ID Type / Status
Subject Beyond Meat E142096 entity
Predicate founder P104 FINISHED
Object Ethan Brown E593819 NE FINISHED

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: Ethan Brown | Statement: [Beyond Meat, founder, Ethan Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethan Brown
Context triple: [Beyond Meat, founder, Ethan Brown]
  • A. Ethan Brown chosen
    Ethan Brown is an American entrepreneur best known as the founder and CEO of the plant-based meat company Beyond Meat.
  • B. Shawn Papazian
    Shawn Papazian is a film producer known for his work on independent and genre movies, including the action drama "Mercury Plains."
  • C. Mitchell Brownstein
    Mitchell Brownstein is a Canadian municipal politician who serves as the mayor of Côte-Saint-Luc, a city on the Island of Montreal in Quebec.
  • D. Joel Ventresca
    Joel Ventresca is a San Francisco-based political figure and longtime city employee known for his progressive activism and multiple campaigns for mayor.
  • E. Daniel Robbins
    Daniel Robbins is an American software developer best known as the founder and chief architect of the Gentoo Linux distribution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f50ea88190af29c8c249ff2b69 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653971f988190847187ae60b6eeb5 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:48 p.m.