Triple

T27847012

Position	Surface form	Disambiguated ID	Type / Status
Subject	윤여정	`E703851`	entity
Predicate	대표작	`P4`	FINISHED
Object	완벽한 타인(한국 영화) 완벽한 타인(한국 영화)은 저녁 식사 자리에서 휴대전화 메시지를 모두 공개하기로 한 친구들의 게임을 통해 인간관계의 민낯과 비밀을 드러내는 블랙 코미디 드라마 영화이다.	`E1792716`	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: 완벽한 타인(한국 영화) | Statement: [윤여정, 대표작, 완벽한 타인(한국 영화)]

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: 완벽한 타인(한국 영화)
Triple: [윤여정, 대표작, 완벽한 타인(한국 영화)]

Generated description

완벽한 타인(한국 영화)은 저녁 식사 자리에서 휴대전화 메시지를 모두 공개하기로 한 친구들의 게임을 통해 인간관계의 민낯과 비밀을 드러내는 블랙 코미디 드라마 영화이다.

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.