Triple
T34482922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 박근혜 |
E885237
|
entity |
| Predicate | 대통령직전정당직 |
P179657
|
FINISHED |
| Object |
새누리당 대표
새누리당 대표는 대한민국의 보수 정당이었던 새누리당을 이끌며 당의 정책 방향과 선거 전략을 총괄하던 최고 책임자 직위이다.
|
E2098970
|
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: 새누리당 대표 | Statement: [박근혜, 대통령직전정당직, 새누리당 대표]
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: 새누리당 대표 Triple: [박근혜, 대통령직전정당직, 새누리당 대표]
Generated description
새누리당 대표는 대한민국의 보수 정당이었던 새누리당을 이끌며 당의 정책 방향과 선거 전략을 총괄하던 최고 책임자 직위이다.
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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7273ab7908190ab8e25d6d1264c60 |
completed | May 3, 2026, 10:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37213a07f08190954ce3fa792f7d7a |
completed | June 20, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_6a3721ea92a48190bb0fc6df5267138e |
completed | June 20, 2026, 11:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3722d05034819087a1399552af21cc |
completed | June 20, 2026, 11:31 p.m. |
Created at: May 1, 2026, 2:01 a.m.