Triple

T20388183
Position Surface form Disambiguated ID Type / Status
Subject Beef E498012 entity
Predicate creator P184 FINISHED
Object Lee Sung Jin
Lee Sung Jin is a Korean-American writer, producer, and director best known for creating the acclaimed Netflix dark comedy-drama series "Beef."
 E1552786 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: Lee Sung Jin | Statement: [Beef, creator, Lee Sung Jin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lee Sung Jin
Context triple: [Beef, creator, Lee Sung Jin]
  • A. Lee Yong-ik
    Lee Yong-ik was a prominent Korean educator and nationalist who played a key role in modernizing education in Korea and helped establish Korea University as a leading institution of higher learning.
  • B. Lee Tae-hun
    Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
  • C. Jo Woo-jin
    Jo Woo-jin is a South Korean actor known for his versatile supporting and character roles in films and television dramas.
  • D. Lee Woo-jin
    Lee Woo-jin is the enigmatic and vengeful antagonist of the South Korean neo-noir film "Oldboy," orchestrating an elaborate revenge plot against the protagonist.
  • E. Suh Yong-jun
    Suh Yong-jun is a Korean individual notable enough to be recognized as a prominent bearer of the surname Suh.
  • 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: Lee Sung Jin
Triple: [Beef, creator, Lee Sung Jin]
Generated description
Lee Sung Jin is a Korean-American writer, producer, and director best known for creating the acclaimed Netflix dark comedy-drama series "Beef."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lee Sung Jin
Target entity description: Lee Sung Jin is a Korean-American writer, producer, and director best known for creating the acclaimed Netflix dark comedy-drama series "Beef."
  • A. Lee Yong-ik
    Lee Yong-ik was a prominent Korean educator and nationalist who played a key role in modernizing education in Korea and helped establish Korea University as a leading institution of higher learning.
  • B. Lee Tae-hun
    Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
  • C. Jo Woo-jin
    Jo Woo-jin is a South Korean actor known for his versatile supporting and character roles in films and television dramas.
  • D. Lee Woo-jin
    Lee Woo-jin is the enigmatic and vengeful antagonist of the South Korean neo-noir film "Oldboy," orchestrating an elaborate revenge plot against the protagonist.
  • E. Suh Yong-jun
    Suh Yong-jun is a Korean individual notable enough to be recognized as a prominent bearer of the surname Suh.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b97fc2600819085486a9d540c9df3 completed May 18, 2026, 10:51 p.m.
NEDg Description generation batch_6a0b9884cb548190958d16f42be4bea8 completed May 18, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0b98e7887881909ec9cc4a2a2167c5 completed May 18, 2026, 10:55 p.m.
Created at: April 16, 2026, 11:28 a.m.