Triple
T19411125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broker |
E485589
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Dong-soo
Dong-soo is a central character in the South Korean film "Broker," portrayed as a morally conflicted man involved in an illegal baby adoption scheme.
|
E1381389
|
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: Dong-soo | Statement: [Broker, featuresCharacter, Dong-soo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dong-soo Context triple: [Broker, featuresCharacter, Dong-soo]
-
A.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
B.
Sung-tae
Sung-tae is a Korean masculine given name commonly used in South Korea.
-
C.
Chung-ho
Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
-
D.
Sang-hyun
Sang-hyun is a central character in the South Korean film "Broker," involved in an illicit baby box scheme that explores themes of family, morality, and redemption.
-
E.
Cho Choong-hoon
Cho Choong-hoon was a South Korean businessman best known as the founder of Hanjin Group, the conglomerate behind Korean Air and other major logistics and transportation businesses.
- 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: Dong-soo Triple: [Broker, featuresCharacter, Dong-soo]
Generated description
Dong-soo is a central character in the South Korean film "Broker," portrayed as a morally conflicted man involved in an illegal baby adoption scheme.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dong-soo Target entity description: Dong-soo is a central character in the South Korean film "Broker," portrayed as a morally conflicted man involved in an illegal baby adoption scheme.
-
A.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
B.
Sung-tae
Sung-tae is a Korean masculine given name commonly used in South Korea.
-
C.
Chung-ho
Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
-
D.
Sang-hyun
Sang-hyun is a central character in the South Korean film "Broker," involved in an illicit baby box scheme that explores themes of family, morality, and redemption.
-
E.
Cho Choong-hoon
Cho Choong-hoon was a South Korean businessman best known as the founder of Hanjin Group, the conglomerate behind Korean Air and other major logistics and transportation businesses.
- 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_6a074e6768bc8190beb1591350353056 |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074f8a2a908190925acc2d7c73090d |
completed | May 15, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fed47bc8190b1a78dcc50345ca4 |
completed | May 15, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:37 p.m.