Triple

T8122211
Position Surface form Disambiguated ID Type / Status
Subject Lenny Henry E189635 entity
Predicate notableWork P4 FINISHED
Object Chef!
Chef! is a British television sitcom starring Lenny Henry as an irascible head chef running a high-end restaurant kitchen.
 E714521 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: Chef! | Statement: [Lenny Henry, notableWork, Chef!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chef!
Context triple: [Lenny Henry, notableWork, Chef!]
  • A. Home Chef
    Home Chef is a meal kit and prepared meals company offering convenient, ready-to-cook and heat-and-eat food solutions for home consumers.
  • B. The Chef
    The Chef is the stage name of Raekwon, a prominent American rapper and member of the Wu-Tang Clan known for his vivid, street-oriented storytelling.
  • C. Iron Chef America
    Iron Chef America is a competitive cooking television series in which top chefs face off in timed culinary battles judged on creativity, taste, and presentation.
  • D. Chef
    Chef is a powerful configuration management and automation platform used to define infrastructure as code and manage complex server environments at scale.
  • E. Chef
    Chef is a 2014 American comedy-drama film written, directed by, and starring Jon Favreau as a chef who reinvents his career and life by starting a food truck business.
  • 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: Chef!
Triple: [Lenny Henry, notableWork, Chef!]
Generated description
Chef! is a British television sitcom starring Lenny Henry as an irascible head chef running a high-end restaurant kitchen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chef!
Target entity description: Chef! is a British television sitcom starring Lenny Henry as an irascible head chef running a high-end restaurant kitchen.
  • A. Home Chef
    Home Chef is a meal kit and prepared meals company offering convenient, ready-to-cook and heat-and-eat food solutions for home consumers.
  • B. The Chef
    The Chef is the stage name of Raekwon, a prominent American rapper and member of the Wu-Tang Clan known for his vivid, street-oriented storytelling.
  • C. Iron Chef America
    Iron Chef America is a competitive cooking television series in which top chefs face off in timed culinary battles judged on creativity, taste, and presentation.
  • D. Chef
    Chef is a powerful configuration management and automation platform used to define infrastructure as code and manage complex server environments at scale.
  • E. Chef
    Chef is a 2014 American comedy-drama film written, directed by, and starring Jon Favreau as a chef who reinvents his career and life by starting a food truck business.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435cb30881909ccaa2f625e53799 completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc945c743c8190bf1d8e60975bd8bc completed April 1, 2026, 3:43 a.m.
NEDg Description generation batch_69cc976995e481908a7e8f3b49c2784b completed April 1, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69cca843fbc0819098d1841fcef25eaa completed April 1, 2026, 5:08 a.m.
Created at: March 30, 2026, 5:33 p.m.