Triple
T21869557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decision to Leave |
E539966
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Cho Young-wuk |
—
|
NE NERFINISHED |
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: Cho Young-wuk | Statement: [Decision to Leave, musicBy, Cho Young-wuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Young-wuk Context triple: [Decision to Leave, musicBy, Cho Young-wuk]
-
A.
Cho Young-wuk
chosen
Cho Young-wuk is a South Korean film music composer best known for scoring acclaimed movies such as "Oldboy" and other works by director Park Chan-wook.
-
B.
Yi Myeong-bok
Yi Myeong-bok was the birth name of Gojong, the 26th king of Joseon and first emperor of the Korean Empire.
-
C.
Yi Bang-won
Yi Bang-won, better known by his temple name King Taejong of Joseon, was the third king of the Joseon Dynasty who consolidated royal authority and laid crucial administrative foundations for early Joseon Korea.
-
D.
Song Young-chang
Song Young-chang is a South Korean actor known for his supporting roles in films and television dramas, often portraying authoritative or high-ranking characters.
-
E.
Suh Yongsun
Suh Yongsun is a South Korean contemporary painter known for his expressive, often somber depictions of urban life and human figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f334362c819094af465ee57b47e6 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.