Triple

T27847010

Position	Surface form	Disambiguated ID	Type / Status
Subject	윤여정	`E703851`	entity
Predicate	대표작	`P4`	FINISHED
Object	나의 아저씨 나의 아저씨는 중년의 남성과 청년 여성의 관계를 통해 삶의 상처와 치유, 연대를 섬세하게 그려낸 한국 드라마이다.	`E1792715`	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: 나의 아저씨 | Statement: [윤여정, 대표작, 나의 아저씨]

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: 나의 아저씨
Triple: [윤여정, 대표작, 나의 아저씨]

Generated description

나의 아저씨는 중년의 남성과 청년 여성의 관계를 통해 삶의 상처와 치유, 연대를 섬세하게 그려낸 한국 드라마이다.

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_69ef840d9e3c819093615ebff4ec22be`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f63902060081909bb490327b0c16f2`	completed	May 2, 2026, 5:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12f73989c881909284c77eec14d780`	completed	May 24, 2026, 1:03 p.m.
NEDg	Description generation	`batch_6a12fb4a4a808190bc0821b2bc754da0`	completed	May 24, 2026, 1:21 p.m.
NED2	Entity disambiguation (via description)	`batch_6a12fd21fb2c8190b52459bd901c05a0`	completed	May 24, 2026, 1:29 p.m.

Created at: April 27, 2026, 6:08 p.m.