Triple

T2014956
Position Surface form Disambiguated ID Type / Status
Subject Soyeon Schröder-Kim E43772 entity
Predicate hasKoreanName P17869 FINISHED
Object 김소연
김소연은 한국 출신으로 독일 전 총리 게르하르트 슈뢰더의 아내로 알려진 인물이다.
 E226255 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: 김소연 | Statement: [Soyeon Schröder-Kim, hasKoreanName, 김소연]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 김소연
Context triple: [Soyeon Schröder-Kim, hasKoreanName, 김소연]
  • A. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • B. Son Mi-na
    Son Mi-na is a South Korean athlete best known for delivering the Olympic Oath on behalf of all competitors at the 1988 Seoul Summer Games.
  • C. Han Mi-nyeo
    Han Mi-nyeo is a loud, manipulative, and opportunistic contestant in the South Korean survival drama series "Squid Game," known for her volatile alliances and dramatic personality.
  • D. Jung Ho-yeon
    Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
  • E. Kang Sae-byeok
    Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
  • 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: 김소연
Triple: [Soyeon Schröder-Kim, hasKoreanName, 김소연]
Generated description
김소연은 한국 출신으로 독일 전 총리 게르하르트 슈뢰더의 아내로 알려진 인물이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 김소연
Target entity description: 김소연은 한국 출신으로 독일 전 총리 게르하르트 슈뢰더의 아내로 알려진 인물이다.
  • A. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • B. Son Mi-na
    Son Mi-na is a South Korean athlete best known for delivering the Olympic Oath on behalf of all competitors at the 1988 Seoul Summer Games.
  • C. Han Mi-nyeo
    Han Mi-nyeo is a loud, manipulative, and opportunistic contestant in the South Korean survival drama series "Squid Game," known for her volatile alliances and dramatic personality.
  • D. Jung Ho-yeon
    Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
  • E. Kang Sae-byeok
    Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aeca6388190befe0630d44de109 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0bb8b34c81908f817bb1fbcb1873 completed March 8, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c20aaf48190852334f9c76d0d18 completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:37 p.m.