Triple

T6460134
Position Surface form Disambiguated ID Type / Status
Subject Beyond Meat E142096 entity
Predicate product P490 FINISHED
Object Beyond Beef
Beyond Beef is a plant-based ground meat alternative created by Beyond Meat to mimic the taste and texture of traditional beef.
 E593823 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: Beyond Beef | Statement: [Beyond Meat, product, Beyond Beef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beyond Beef
Context triple: [Beyond Meat, product, Beyond Beef]
  • A. Meat Eaters
    "Meat Eaters" is an episode of the BBC nature documentary series *The Life of Mammals* that explores the behavior, adaptations, and ecology of carnivorous mammals.
  • B. The Baron of Beef
    The Baron of Beef is a traditional English pub located on Bene't Street in the historic center of Cambridge, England.
  • C. Fresh Meat
    Fresh Meat is a British comedy-drama television series that follows the chaotic lives of a group of university students sharing a house in Manchester.
  • D. Against the Grain
    Against the Grain is a 1990 punk rock album by Bad Religion known for its fast tempos, melodic harmonies, and socially conscious lyrics.
  • E. Good Eats
    Good Eats is a popular television cooking show created and hosted by Alton Brown that blends culinary instruction with science, humor, and quirky storytelling.
  • 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: Beyond Beef
Triple: [Beyond Meat, product, Beyond Beef]
Generated description
Beyond Beef is a plant-based ground meat alternative created by Beyond Meat to mimic the taste and texture of traditional beef.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beyond Beef
Target entity description: Beyond Beef is a plant-based ground meat alternative created by Beyond Meat to mimic the taste and texture of traditional beef.
  • A. Meat Eaters
    "Meat Eaters" is an episode of the BBC nature documentary series *The Life of Mammals* that explores the behavior, adaptations, and ecology of carnivorous mammals.
  • B. The Baron of Beef
    The Baron of Beef is a traditional English pub located on Bene't Street in the historic center of Cambridge, England.
  • C. Fresh Meat
    Fresh Meat is a British comedy-drama television series that follows the chaotic lives of a group of university students sharing a house in Manchester.
  • D. Against the Grain
    Against the Grain is a 1990 punk rock album by Bad Religion known for its fast tempos, melodic harmonies, and socially conscious lyrics.
  • E. Good Eats
    Good Eats is a popular television cooking show created and hosted by Alton Brown that blends culinary instruction with science, humor, and quirky storytelling.
  • 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.