Triple
T19411831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Sweepers |
E485604
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Kim Mu-yeol
Kim Mu-yeol is a South Korean actor known for his versatile performances in film, television, and theater.
|
E1468860
|
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 Mu-yeol | Statement: [Space Sweepers, castMember, Kim Mu-yeol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Mu-yeol Context triple: [Space Sweepers, castMember, Kim Mu-yeol]
-
A.
Yeon Jung-hoon
Yeon Jung-hoon is a South Korean actor known for his roles in television dramas and films, as well as for being the son of veteran actor Yeon Kyu-jin and the husband of actress Han Ga-in.
-
B.
Kim Swoo Geun
Kim Swoo Geun was a prominent South Korean architect renowned for pioneering modern Korean architecture and shaping Seoul’s urban landscape in the mid-20th century.
-
C.
Lee Chang-ho
Lee Chang-ho is a legendary South Korean professional Go player renowned for his precise, endgame-focused style and long-standing dominance of the international Go scene.
-
D.
Yoo Seung-mok
Yoo Seung-mok is a South Korean actor known for his character roles in film, television, and theater.
-
E.
Kim Yoon-seok
Kim Yoon-seok is a prominent South Korean actor known for his intense performances in critically acclaimed films such as "The Chaser," "The Yellow Sea," and "The Fortress."
- 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 Mu-yeol Triple: [Space Sweepers, castMember, Kim Mu-yeol]
Generated description
Kim Mu-yeol is a South Korean actor known for his versatile performances in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Mu-yeol Target entity description: Kim Mu-yeol is a South Korean actor known for his versatile performances in film, television, and theater.
-
A.
Yeon Jung-hoon
Yeon Jung-hoon is a South Korean actor known for his roles in television dramas and films, as well as for being the son of veteran actor Yeon Kyu-jin and the husband of actress Han Ga-in.
-
B.
Kim Swoo Geun
Kim Swoo Geun was a prominent South Korean architect renowned for pioneering modern Korean architecture and shaping Seoul’s urban landscape in the mid-20th century.
-
C.
Lee Chang-ho
Lee Chang-ho is a legendary South Korean professional Go player renowned for his precise, endgame-focused style and long-standing dominance of the international Go scene.
-
D.
Yoo Seung-mok
Yoo Seung-mok is a South Korean actor known for his character roles in film, television, and theater.
-
E.
Kim Yoon-seok
Kim Yoon-seok is a prominent South Korean actor known for his intense performances in critically acclaimed films such as "The Chaser," "The Yellow Sea," and "The Fortress."
- 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_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096da3b8e88190bae1daccb216d35a |
completed | May 17, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_6a096e80955c819080873bc728d9ab5d |
completed | May 17, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a096f5e96cc8190b3be5a773868bd32 |
completed | May 17, 2026, 7:33 a.m. |
Created at: April 10, 2026, 1:37 p.m.