Triple
T22123671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Along with the Gods: The Last 49 Days |
E546736
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Deok-choon |
—
|
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: Deok-choon | Statement: [Along with the Gods: The Last 49 Days, mainCharacter, Deok-choon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deok-choon Context triple: [Along with the Gods: The Last 49 Days, mainCharacter, Deok-choon]
-
A.
Deok-choon
chosen
Deok-choon is a compassionate and skilled afterlife guardian who guides souls through their trials in the South Korean fantasy film "Along with the Gods: The Two Worlds."
-
B.
Woncheuk
Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
-
C.
Yong-taek
Yong-taek is a Korean masculine given name commonly used in South Korea.
-
D.
Yon-suk
Yon-suk is the selfish and antagonistic businessman in the South Korean zombie film "Train to Busan," known for endangering others to save himself.
-
E.
Byeong-cheol
Byeong-cheol is a Korean masculine given name that can be written with various hanja characters, giving it different meanings.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1298016e081909d00015ca516d9fd |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.