Triple
T19410690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silenced |
E485577
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Kim Sang-bum
Kim Sang-bum is a South Korean film editor known for his work on numerous acclaimed Korean movies.
|
E1390635
|
NE FINISHED |
How this triple was built (4 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 Sang-bum | Statement: [Silenced, editedBy, Kim Sang-bum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Sang-bum Context triple: [Silenced, editedBy, Kim Sang-bum]
-
A.
Kim Jeong-suk
Kim Jeong-suk is best known as the wife of South Korean general Paik Sun-yup, a prominent military figure during and after the Korean War.
-
B.
Kim Hong-gul
Kim Hong-gul is a South Korean politician and the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
-
C.
Kim Dong-wook
Kim Dong-wook is a composer known for creating the musical score for the South Korean dark fantasy series "Hellbound."
-
D.
Kim Won-bong
Kim Won-bong was a prominent Korean independence activist and nationalist leader who organized militant resistance against Japanese colonial rule in the early 20th century.
-
E.
Park Won-soon
Park Won-soon was a prominent South Korean lawyer, civic activist, and politician who served as the long-time progressive mayor of Seoul until his death in 2020.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kim Sang-bum Triple: [Silenced, editedBy, Kim Sang-bum]
Generated description
Kim Sang-bum is a South Korean film editor known for his work on numerous acclaimed Korean movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Sang-bum Target entity description: Kim Sang-bum is a South Korean film editor known for his work on numerous acclaimed Korean movies.
-
A.
Kim Jeong-suk
Kim Jeong-suk is best known as the wife of South Korean general Paik Sun-yup, a prominent military figure during and after the Korean War.
-
B.
Kim Hong-gul
Kim Hong-gul is a South Korean politician and the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
-
C.
Kim Dong-wook
Kim Dong-wook is a composer known for creating the musical score for the South Korean dark fantasy series "Hellbound."
-
D.
Kim Won-bong
Kim Won-bong was a prominent Korean independence activist and nationalist leader who organized militant resistance against Japanese colonial rule in the early 20th century.
-
E.
Park Won-soon
Park Won-soon was a prominent South Korean lawyer, civic activist, and politician who served as the long-time progressive mayor of Seoul until his death in 2020.
- F. None of above. chosen
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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af4cc0c81909056b5e2ee574ab1 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab7e0d4081909296ab9498e7996f |
completed | May 15, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_6a07acb892408190bd5e927cad3343ec |
completed | May 15, 2026, 11:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ad2377488190b4f52c72a9a5d196 |
completed | May 15, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.