Triple

T9789891
Position Surface form Disambiguated ID Type / Status
Subject Chef (2014 film) E237579 entity
Predicate consultant P36354 FINISHED
Object Roy Choi
Roy Choi is a Korean-American chef and restaurateur best known for pioneering the gourmet food truck movement with his Kogi BBQ trucks in Los Angeles.
 E821569 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: Roy Choi | Statement: [Chef (2014 film), consultant, Roy Choi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roy Choi
Context triple: [Chef (2014 film), consultant, Roy Choi]
  • A. Eddie Kim
    Eddie Kim is the ruthless crime boss and primary antagonist in the action-thriller film "Snakes on a Plane," responsible for orchestrating the deadly snake attack aboard the aircraft.
  • B. Kenneth Choi
    Kenneth Choi is an American actor known for his roles in television series such as "9-1-1" and films including "The Wolf of Wall Street" and "Spider-Man: Homecoming."
  • C. Kim Bai
    Kim Bai is a town in northern Vietnam that serves as the administrative and political center of Thanh Oai District in Hanoi.
  • D. Jack Soo
    Jack Soo was a Japanese-American actor and comedian best known for his role as Detective Nick Yemana on the television sitcom "Barney Miller."
  • E. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • 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: Roy Choi
Triple: [Chef (2014 film), consultant, Roy Choi]
Generated description
Roy Choi is a Korean-American chef and restaurateur best known for pioneering the gourmet food truck movement with his Kogi BBQ trucks in Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roy Choi
Target entity description: Roy Choi is a Korean-American chef and restaurateur best known for pioneering the gourmet food truck movement with his Kogi BBQ trucks in Los Angeles.
  • A. Eddie Kim
    Eddie Kim is the ruthless crime boss and primary antagonist in the action-thriller film "Snakes on a Plane," responsible for orchestrating the deadly snake attack aboard the aircraft.
  • B. Kenneth Choi
    Kenneth Choi is an American actor known for his roles in television series such as "9-1-1" and films including "The Wolf of Wall Street" and "Spider-Man: Homecoming."
  • C. Kim Bai
    Kim Bai is a town in northern Vietnam that serves as the administrative and political center of Thanh Oai District in Hanoi.
  • D. Jack Soo
    Jack Soo was a Japanese-American actor and comedian best known for his role as Detective Nick Yemana on the television sitcom "Barney Miller."
  • E. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4eb7a0481908bbd72f6d28d4746 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5c0e6e88190bbf6eb379e6d1aa3 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:28 p.m.