Triple
T10847725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban Ki-moon |
E256057
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Yoo Soon-taek |
E51441
|
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: Yoo Soon-taek | Statement: [Ban Ki-moon, spouse, Yoo Soon-taek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoo Soon-taek Context triple: [Ban Ki-moon, spouse, Yoo Soon-taek]
-
A.
Yoo Soon-taek
chosen
Yoo Soon-taek is a South Korean figure best known as the wife of former United Nations Secretary-General Ban Ki-moon and for her involvement in various social and charitable activities.
-
B.
Kim Ki-young
Kim Ki-young was a pioneering South Korean film director best known for his psychologically intense, genre-blending works such as "The Housemaid," which deeply influenced later auteurs like Bong Joon-ho.
-
C.
Yeon Sang-ho
Yeon Sang-ho is a South Korean filmmaker best known internationally for directing the hit zombie thriller "Train to Busan" and its related works.
-
D.
Im Kwon-taek
Im Kwon-taek is a pioneering South Korean film director renowned for his prolific career and influential works that helped shape modern Korean cinema.
-
E.
Na Hong-jin
Na Hong-jin is a South Korean filmmaker renowned for his intense, genre-blending thrillers such as "The Chaser," "The Yellow Sea," and "The Wailing."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75113bc188190ac78df0c51d95de6 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154b2eb08819080a9905dbf378111 |
completed | April 16, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:20 p.m.