Triple
T6460125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyond Meat |
E142096
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Ethan Brown
Ethan Brown is an American entrepreneur best known as the founder and CEO of the plant-based meat company Beyond Meat.
|
E593819
|
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: Ethan Brown | Statement: [Beyond Meat, foundedBy, Ethan Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Brown Context triple: [Beyond Meat, foundedBy, Ethan Brown]
-
A.
Shawn Papazian
Shawn Papazian is a film producer known for his work on independent and genre movies, including the action drama "Mercury Plains."
-
B.
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.
-
C.
Daniel Robbins
Daniel Robbins is an American software developer best known as the founder and chief architect of the Gentoo Linux distribution.
-
D.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
E.
David Huntley
David Huntley is an entrepreneur best known as a founder of the outdoor apparel and equipment company Mountain Hardwear.
- 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: Ethan Brown Triple: [Beyond Meat, foundedBy, Ethan Brown]
Generated description
Ethan Brown is an American entrepreneur best known as the founder and CEO of the plant-based meat company Beyond Meat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ethan Brown Target entity description: Ethan Brown is an American entrepreneur best known as the founder and CEO of the plant-based meat company Beyond Meat.
-
A.
Shawn Papazian
Shawn Papazian is a film producer known for his work on independent and genre movies, including the action drama "Mercury Plains."
-
B.
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.
-
C.
Daniel Robbins
Daniel Robbins is an American software developer best known as the founder and chief architect of the Gentoo Linux distribution.
-
D.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
E.
David Huntley
David Huntley is an entrepreneur best known as a founder of the outdoor apparel and equipment company Mountain Hardwear.
- 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_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_69c64be1fad88190af07b7053811e3f2 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64c79104c8190b2478dcead58d9cb |
completed | March 27, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64cd505e08190a9c6152e55e272b4 |
completed | March 27, 2026, 9:24 a.m. |
Created at: March 22, 2026, 4:48 p.m.