Triple

T1978676
Position Surface form Disambiguated ID Type / Status
Subject Pyeongtaek E42974 entity
Predicate hasMayor P185 FINISHED
Object Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
 E234982 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: Jung Jang-seon | Statement: [Pyeongtaek, hasMayor, Jung Jang-seon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jung Jang-seon
Context triple: [Pyeongtaek, hasMayor, Jung Jang-seon]
  • A. 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."
  • B. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • C. 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."
  • D. Jang Deok-su
    Jang Deok-su is a brutal, debt-ridden gangster who serves as one of the primary antagonists in the South Korean survival drama series "Squid Game."
  • E. Lee Hak-rae
    Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
  • 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: Jung Jang-seon
Triple: [Pyeongtaek, hasMayor, Jung Jang-seon]
Generated description
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jung Jang-seon
Target entity description: Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
  • A. 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."
  • B. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • C. 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."
  • D. Jang Deok-su
    Jang Deok-su is a brutal, debt-ridden gangster who serves as one of the primary antagonists in the South Korean survival drama series "Squid Game."
  • E. Lee Hak-rae
    Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb43011188190b6a41c004e9e4802 completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30467f2c8190adc3e619396c0f08 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae31722f0081908a4d9d0760af375e completed March 9, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69ae3209e46c81909055a1ee4fccd74d completed March 9, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:36 p.m.