Triple
T19411810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Sweepers |
E485604
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Byeon Bong-seon
Byeon Bong-seon is a South Korean cinematographer known for his work on the sci-fi film "Space Sweepers."
|
E1423365
|
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: Byeon Bong-seon | Statement: [Space Sweepers, cinematographyBy, Byeon Bong-seon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byeon Bong-seon Context triple: [Space Sweepers, cinematographyBy, Byeon Bong-seon]
-
A.
Dong Hee-seon
Dong Hee-seon is a South Korean screenwriter best known for her work on the hit fantasy-comedy film "Miss Granny."
-
B.
Kang Sae-byeok
Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
-
C.
Yang Hak-seon
Yang Hak-seon is a South Korean artistic gymnast renowned as an Olympic and world champion vaulter and the first South Korean gymnast to win an Olympic gold medal.
-
D.
Suh Kyung-bae
Suh Kyung-bae is a South Korean billionaire businessman best known as the chairman of Amorepacific Corporation, one of Asia’s leading cosmetics companies.
-
E.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
- 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: Byeon Bong-seon Triple: [Space Sweepers, cinematographyBy, Byeon Bong-seon]
Generated description
Byeon Bong-seon is a South Korean cinematographer known for his work on the sci-fi film "Space Sweepers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Byeon Bong-seon Target entity description: Byeon Bong-seon is a South Korean cinematographer known for his work on the sci-fi film "Space Sweepers."
-
A.
Dong Hee-seon
Dong Hee-seon is a South Korean screenwriter best known for her work on the hit fantasy-comedy film "Miss Granny."
-
B.
Kang Sae-byeok
Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
-
C.
Yang Hak-seon
Yang Hak-seon is a South Korean artistic gymnast renowned as an Olympic and world champion vaulter and the first South Korean gymnast to win an Olympic gold medal.
-
D.
Suh Kyung-bae
Suh Kyung-bae is a South Korean billionaire businessman best known as the chairman of Amorepacific Corporation, one of Asia’s leading cosmetics companies.
-
E.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
- 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_6a0861013a1081909a47782a9a1ac1d0 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086264e3408190847a995f3538c70b |
completed | May 16, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0863b6dd84819089344a5ff28bf0cf |
completed | May 16, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:37 p.m.