Triple
T10969384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koh |
E259190
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Koh Sang-ji
Koh Sang-ji is a notable individual bearing the Korean surname Koh, recognized enough to be specifically cited among its prominent bearers.
|
E899299
|
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: Koh Sang-ji | Statement: [Koh, hasNotableBearer, Koh Sang-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koh Sang-ji Context triple: [Koh, hasNotableBearer, Koh Sang-ji]
-
A.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
B.
Koh Young-jin
Koh Young-jin is a South Korean individual notable enough to be recognized as a prominent bearer of the Korean surname Koh.
-
C.
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."
-
D.
Jung Sun-young
Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
-
E.
Yuk Young-soo
Yuk Young-soo was the respected First Lady of South Korea and wife of President Park Chung-hee, remembered for her charitable work and her assassination in 1974.
- 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: Koh Sang-ji Triple: [Koh, hasNotableBearer, Koh Sang-ji]
Generated description
Koh Sang-ji is a notable individual bearing the Korean surname Koh, recognized enough to be specifically cited among its prominent bearers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koh Sang-ji Target entity description: Koh Sang-ji is a notable individual bearing the Korean surname Koh, recognized enough to be specifically cited among its prominent bearers.
-
A.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
B.
Koh Young-jin
Koh Young-jin is a South Korean individual notable enough to be recognized as a prominent bearer of the Korean surname Koh.
-
C.
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."
-
D.
Jung Sun-young
Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
-
E.
Yuk Young-soo
Yuk Young-soo was the respected First Lady of South Korea and wife of President Park Chung-hee, remembered for her charitable work and her assassination in 1974.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77198e5408190904b2bb603d1bc16 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3743d16ac81909c2d4eb11713512b |
completed | April 18, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:24 p.m.