Triple
T10323895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Yeun |
E242709
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Yeun Sang-yeop
Yeun Sang-yeop is a South Korean–born American actor best known for his roles in "The Walking Dead," "Minari," and "Beef."
|
E855389
|
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: Yeun Sang-yeop | Statement: [Steven Yeun, birthName, Yeun Sang-yeop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeun Sang-yeop Context triple: [Steven Yeun, birthName, Yeun Sang-yeop]
-
A.
Hwang Jun-ho
Hwang Jun-ho is a determined police officer in the South Korean series "Squid Game" who infiltrates the deadly competition to uncover the truth behind its operations and find his missing brother.
-
B.
Yoo Jeong-bok
Yoo Jeong-bok is a South Korean politician and public administrator who has served as mayor of Incheon and held various national government posts.
-
C.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
D.
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.
-
E.
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.
- 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: Yeun Sang-yeop Triple: [Steven Yeun, birthName, Yeun Sang-yeop]
Generated description
Yeun Sang-yeop is a South Korean–born American actor best known for his roles in "The Walking Dead," "Minari," and "Beef."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yeun Sang-yeop Target entity description: Yeun Sang-yeop is a South Korean–born American actor best known for his roles in "The Walking Dead," "Minari," and "Beef."
-
A.
Hwang Jun-ho
Hwang Jun-ho is a determined police officer in the South Korean series "Squid Game" who infiltrates the deadly competition to uncover the truth behind its operations and find his missing brother.
-
B.
Yoo Jeong-bok
Yoo Jeong-bok is a South Korean politician and public administrator who has served as mayor of Incheon and held various national government posts.
-
C.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
D.
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.
-
E.
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.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ce683c8190bf5385dd04bf2de8 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da2053481908fe5ed097b480cdd |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d731887d2081908e6b4e33d400582f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329189708190bbd21bd40ec029b0 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:50 a.m.