Triple

T22004083
Position Surface form Disambiguated ID Type / Status
Subject Sandglass E543404 entity
Predicate hasCastMember P2308 FINISHED
Object Kim Jong-tae
Kim Jong-tae is a South Korean actor known for his supporting roles in television dramas and films.
 E1528485 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: Kim Jong-tae | Statement: [Sandglass, hasCastMember, Kim Jong-tae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kim Jong-tae
Context triple: [Sandglass, hasCastMember, Kim Jong-tae]
  • A. Kim Jung-soo
    Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
  • B. Kim Tae-seong
    Kim Tae-seong is a South Korean film composer known for scoring major Korean movies, including the sci-fi blockbuster "Space Sweepers."
  • C. Jang Kum-song
    Jang Kum-song was the daughter of senior North Korean official Kim Kyong-hui and thus a member of North Korea’s ruling Kim family.
  • D. Kim Kyu-sik
    Kim Kyu-sik was a prominent Korean independence activist, educator, and politician who served as a leading figure in the Korean Provisional Government and later became vice president of South Korea.
  • E. Kim Won-bong
    Kim Won-bong was a prominent Korean independence activist and nationalist leader who organized militant resistance against Japanese colonial rule in the early 20th century.
  • 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: Kim Jong-tae
Triple: [Sandglass, hasCastMember, Kim Jong-tae]
Generated description
Kim Jong-tae is a South Korean actor known for his supporting roles in television dramas and films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kim Jong-tae
Target entity description: Kim Jong-tae is a South Korean actor known for his supporting roles in television dramas and films.
  • A. Kim Jung-soo
    Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
  • B. Kim Tae-seong
    Kim Tae-seong is a South Korean film composer known for scoring major Korean movies, including the sci-fi blockbuster "Space Sweepers."
  • C. Jang Kum-song
    Jang Kum-song was the daughter of senior North Korean official Kim Kyong-hui and thus a member of North Korea’s ruling Kim family.
  • D. Kim Kyu-sik
    Kim Kyu-sik was a prominent Korean independence activist, educator, and politician who served as a leading figure in the Korean Provisional Government and later became vice president of South Korea.
  • E. Kim Won-bong
    Kim Won-bong was a prominent Korean independence activist and nationalist leader who organized militant resistance against Japanese colonial rule in the early 20th century.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276cab5c8190ac1236fde7e0394a completed April 28, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0abc8ca68c8190a41a91b8ef532390 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abd99c9f481909a3ef5d32a1d5774 completed May 18, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0abf213878819085413d22a824fe58 completed May 18, 2026, 7:26 a.m.
Created at: April 16, 2026, 8:20 p.m.