Triple
T27847003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 윤여정 |
E703851
|
entity |
| Predicate | 대표작 |
P4
|
FINISHED |
| Object |
바람난 가족
바람난 가족은 임상수 감독이 연출하고 윤여정이 인상적인 연기를 선보인, 한국 사회의 위선과 가족 해체를 블랙코미디 형식으로 그린 영화이다.
|
E1792712
|
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: 바람난 가족 | Statement: [윤여정, 대표작, 바람난 가족]
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: 바람난 가족 Triple: [윤여정, 대표작, 바람난 가족]
Generated description
바람난 가족은 임상수 감독이 연출하고 윤여정이 인상적인 연기를 선보인, 한국 사회의 위선과 가족 해체를 블랙코미디 형식으로 그린 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.