Triple

T37536614
Position Surface form Disambiguated ID Type / Status
Subject Park In-chon E933214 entity
Predicate nativeName P15 FINISHED
Object 박인천
박인천은 대한민국의 기업가이자 한진그룹의 창업주로, 국내 운송·물류 산업 발전에 큰 영향을 끼친 인물이다.
E2230146 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: 박인천 | Statement: [Park In-chon, nativeName, 박인천]
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: 박인천
Triple: [Park In-chon, nativeName, 박인천]
Generated description
박인천은 대한민국의 기업가이자 한진그룹의 창업주로, 국내 운송·물류 산업 발전에 큰 영향을 끼친 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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba41c50c08190978bb915cb2003d2 completed May 6, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40954c305c81908d733af56ed92ee0 completed June 28, 2026, 3:30 a.m.
NEDg Description generation batch_6a4095d447388190b220f838d899ce61 completed June 28, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a40965dcecc8190804e4b8849a883a3 completed June 28, 2026, 3:34 a.m.
Created at: May 3, 2026, 4:17 p.m.