Triple

T27775549
Position Surface form Disambiguated ID Type / Status
Subject South Korea national football team E699173 entity
Predicate notablePlayer P304 FINISHED
Object Hong Myung-bo
Hong Myung-bo is a legendary South Korean footballer and former defender, best known for captaining the national team to a historic fourth-place finish at the 2002 FIFA World Cup and later managing the side.
E1849379 NE FINISHED

How this triple was built (2 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: Hong Myung-bo | Statement: [South Korea national football team, notablePlayer, Hong Myung-bo]
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: Hong Myung-bo
Triple: [South Korea national football team, notablePlayer, Hong Myung-bo]
Generated description
Hong Myung-bo is a legendary South Korean footballer and former defender, best known for captaining the national team to a historic fourth-place finish at the 2002 FIFA World Cup and later managing the side.

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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63799f02c81909ca4f4d95728fed7 completed May 2, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25378393d88190872b44aec56f5300 completed June 7, 2026, 9:18 a.m.
NEDg Description generation batch_6a253b7b6e1081908bb2790e3effce40 completed June 7, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a253f72bf4c8190846d42f2373f400f completed June 7, 2026, 9:52 a.m.
Created at: April 27, 2026, 5:05 p.m.