Triple

T31956444
Position Surface form Disambiguated ID Type / Status
Subject Jeong Hyeong-don E815919 entity
Predicate nativeName P15 FINISHED
Object 정형돈
정형돈은 한국의 개그맨이자 방송인으로, 예능 프로그램에서의 독특한 개그 스타일과 입담으로 큰 인기를 얻은 인물이다.
E2050493 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: 정형돈 | Statement: [Jeong Hyeong-don, nativeName, 정형돈]
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: 정형돈
Triple: [Jeong Hyeong-don, nativeName, 정형돈]
Generated description
정형돈은 한국의 개그맨이자 방송인으로, 예능 프로그램에서의 독특한 개그 스타일과 입담으로 큰 인기를 얻은 인물이다.

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_69f348f4ec708190abbb2a7c3ed58844 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2af554c8190b94b35448dc2b8fd completed May 3, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35812eb9048190851cbe7e71ad5623 completed June 19, 2026, 5:49 p.m.
NEDg Description generation batch_6a3581ddeab88190b15f2f974ef67e0e completed June 19, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a3582372b908190be6d6197e7e4ea92 completed June 19, 2026, 5:53 p.m.
Created at: May 1, 2026, 12:08 a.m.