Triple

T22004097
Position Surface form Disambiguated ID Type / Status
Subject Sandglass E543404 entity
Predicate hasCastMember P2308 FINISHED
Object Kim Hee-ra
Kim Hee-ra is a South Korean actor known for his roles in film and television, particularly during the 1990s.
E1582968 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 Hee-ra | Statement: [Sandglass, hasCastMember, Kim Hee-ra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Hee-ra
Context triple: [Sandglass, hasCastMember, Kim Hee-ra]
  • A. Kim Young-ae
    Kim Young-ae was a renowned South Korean actress celebrated for her powerful performances across film and television over several decades.
  • B. Kim Hye-ja
    Kim Hye-ja is a renowned South Korean actress, especially acclaimed for her powerful performance in Bong Joon-ho’s thriller "Mother" and her long career in television dramas.
  • C. Kim Sung-ae
    Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
  • D. Ahn So-hee
    Ahn So-hee is a South Korean actress and former member of the K-pop girl group Wonder Girls who has appeared in various films and television dramas.
  • E. Lee Hae-jin
    Lee Hae-jin is a South Korean entrepreneur and technologist best known as the founder and longtime leader of internet giant Naver Corporation.
  • 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 Hee-ra
Triple: [Sandglass, hasCastMember, Kim Hee-ra]
Generated description
Kim Hee-ra is a South Korean actor known for his roles in film and television, particularly during the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kim Hee-ra
Target entity description: Kim Hee-ra is a South Korean actor known for his roles in film and television, particularly during the 1990s.
  • A. Kim Young-ae
    Kim Young-ae was a renowned South Korean actress celebrated for her powerful performances across film and television over several decades.
  • B. Kim Hye-ja
    Kim Hye-ja is a renowned South Korean actress, especially acclaimed for her powerful performance in Bong Joon-ho’s thriller "Mother" and her long career in television dramas.
  • C. Kim Sung-ae
    Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
  • D. Ahn So-hee
    Ahn So-hee is a South Korean actress and former member of the K-pop girl group Wonder Girls who has appeared in various films and television dramas.
  • E. Lee Hae-jin
    Lee Hae-jin is a South Korean entrepreneur and technologist best known as the founder and longtime leader of internet giant Naver Corporation.
  • 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_6a0c5da47b648190a4ba7792f2b36999 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c60283668819096076b1bf406eaa0 completed May 19, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0c60b52fe88190854803902df750c5 completed May 19, 2026, 1:08 p.m.
Created at: April 16, 2026, 8:20 p.m.