Triple
T19410691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silenced |
E485577
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Kim Jae-bum |
—
|
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: Kim Jae-bum | Statement: [Silenced, editedBy, Kim Jae-bum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Jae-bum Context triple: [Silenced, editedBy, Kim Jae-bum]
-
A.
Kim Sang-bum
chosen
Kim Sang-bum is a South Korean film editor known for his work on numerous acclaimed Korean movies.
-
B.
Kim Dong-wook
Kim Dong-wook is a composer known for creating the musical score for the South Korean dark fantasy series "Hellbound."
-
C.
Shim Joong-bo
Shim Joong-bo is a Catholic prelate known for having ordained Lázaro You Heung-sik, a prominent Korean cardinal in the Roman Catholic Church.
-
D.
Jin Kyeong-hun
Jin Kyeong-hun is a central character in the South Korean dark fantasy series "Hellbound," depicted as a determined detective entangled in the mysterious and terrifying supernatural decrees that suddenly begin condemning people to hell.
-
E.
Lee Byung-chul
Lee Byung-chul was a South Korean entrepreneur and industrialist best known as the founder of the Samsung business empire, which grew into one of the world’s largest conglomerates.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af4cc0c81909056b5e2ee574ab1 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.