Triple

T20644210
Position Surface form Disambiguated ID Type / Status
Subject Taejo of Goryeo E507309 entity
Predicate father P120 FINISHED
Object Wang Ryung
Wang Ryung was a late Silla-period nobleman and regional power whose son Wang Geon (Taejo of Goryeo) founded the Goryeo dynasty in Korea.
 E1491451 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: Wang Ryung | Statement: [Taejo of Goryeo, father, Wang Ryung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wang Ryung
Context triple: [Taejo of Goryeo, father, Wang Ryung]
  • A. Son Ki-jung
    Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
  • B. Koo Cha-kyung
    Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
  • C. 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.
  • D. Chun Lee-kyung
    Chun Lee-kyung is a South Korean former short track speed skater and multiple Olympic gold medalist who dominated women’s events in the 1990s.
  • E. Yoon Ga-eun
    Yoon Ga-eun is a South Korean film director and screenwriter known for her sensitive, realistic portrayals of children and adolescence.
  • 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: Wang Ryung
Triple: [Taejo of Goryeo, father, Wang Ryung]
Generated description
Wang Ryung was a late Silla-period nobleman and regional power whose son Wang Geon (Taejo of Goryeo) founded the Goryeo dynasty in Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wang Ryung
Target entity description: Wang Ryung was a late Silla-period nobleman and regional power whose son Wang Geon (Taejo of Goryeo) founded the Goryeo dynasty in Korea.
  • A. Son Ki-jung
    Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
  • B. Koo Cha-kyung
    Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
  • C. 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.
  • D. Chun Lee-kyung
    Chun Lee-kyung is a South Korean former short track speed skater and multiple Olympic gold medalist who dominated women’s events in the 1990s.
  • E. Yoon Ga-eun
    Yoon Ga-eun is a South Korean film director and screenwriter known for her sensitive, realistic portrayals of children and adolescence.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1d0be481909e090193dcfd9cf6 completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09f65a91e481909617768ff8c42a40 completed May 17, 2026, 5:09 p.m.
NEDg Description generation batch_6a09f7f321148190bad9a8db3aa334cc completed May 17, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a09f87851a88190b8d78d182c114e02 completed May 17, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:43 a.m.