Triple

T19116343
Position Surface form Disambiguated ID Type / Status
Subject Oh E467916 entity
Predicate hasNotableBearer P458 FINISHED
Object Oh Kyo-moon
Oh Kyo-moon is a South Korean archer who won multiple Olympic medals in the 1990s and early 2000s.
 E1373169 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: Oh Kyo-moon | Statement: [Oh, hasNotableBearer, Oh Kyo-moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oh Kyo-moon
Context triple: [Oh, hasNotableBearer, Oh Kyo-moon]
  • A. Jung Sun-young
    Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
  • B. Jo Yun-ok
    Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
  • C. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • D. Koh Sang-ji
    Koh Sang-ji is a notable individual bearing the Korean surname Koh, recognized enough to be specifically cited among its prominent bearers.
  • E. Lee Maeng-hee
    Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
  • 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: Oh Kyo-moon
Triple: [Oh, hasNotableBearer, Oh Kyo-moon]
Generated description
Oh Kyo-moon is a South Korean archer who won multiple Olympic medals in the 1990s and early 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oh Kyo-moon
Target entity description: Oh Kyo-moon is a South Korean archer who won multiple Olympic medals in the 1990s and early 2000s.
  • A. Jung Sun-young
    Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
  • B. Jo Yun-ok
    Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
  • C. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • D. Koh Sang-ji
    Koh Sang-ji is a notable individual bearing the Korean surname Koh, recognized enough to be specifically cited among its prominent bearers.
  • E. Lee Maeng-hee
    Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3984bf48190818fa2b01b75decb completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a072b69ded88190a1d8515e1156ad97 completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072cf1fd2081909ce4ac24e6e0da30 completed May 15, 2026, 2:25 p.m.
NED2 Entity disambiguation (via description) batch_6a072d40295c81909c69e763f0ade5bd completed May 15, 2026, 2:27 p.m.
Created at: April 10, 2026, 12:05 p.m.