Triple

T36445128
Position Surface form Disambiguated ID Type / Status
Subject 박찬욱 E897849 entity
Predicate notableWork P4 FINISHED
Object 스토커
스토커는 박찬욱 감독이 할리우드에 진출해 연출한 심리 스릴러 영화로, 섬뜩한 분위기와 미장센, 가족 간의 왜곡된 관계를 섬세하게 그려낸 작품이다.
E2183945 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: 스토커 | Statement: [박찬욱, notableWork, 스토커]
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: 스토커
Triple: [박찬욱, notableWork, 스토커]
Generated description
스토커는 박찬욱 감독이 할리우드에 진출해 연출한 심리 스릴러 영화로, 섬뜩한 분위기와 미장센, 가족 간의 왜곡된 관계를 섬세하게 그려낸 작품이다.

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_69f76e5720b481908f8177ac24a7560b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bd8b9b608190a9154bc2c9816648 completed May 3, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c41f1ea88190a9ed0877c513dbf9 completed June 22, 2026, 11:24 p.m.
NEDg Description generation batch_6a39c4c69e8c81909a8d39b83926666f completed June 22, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a39c59ba6d48190a285f5b0f1adcdda completed June 22, 2026, 11:30 p.m.
Created at: May 3, 2026, 4:10 p.m.