Triple
T22003875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assassination |
E543400
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ahn Soo-hyun
Ahn Soo-hyun is a South Korean film producer best known for producing the acclaimed historical action film "Assassination."
|
E1549890
|
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: Ahn Soo-hyun | Statement: [Assassination, producer, Ahn Soo-hyun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahn Soo-hyun Context triple: [Assassination, producer, Ahn Soo-hyun]
-
A.
Ahn Seo-hyun
Ahn Seo-hyun is a South Korean actress best known internationally for her lead role in Bong Joon-ho’s film "Okja."
-
B.
Jung Ho-yeon
Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
-
C.
Hwang Jo-yoon
Hwang Jo-yoon is a South Korean screenwriter best known for co-writing the acclaimed neo-noir revenge film "Oldboy."
-
D.
Cho Soo-hyun
Cho Soo-hyun is a South Korean music video director best known for helming PSY’s global hit video "Gangnam Style."
-
E.
Cho Jae-hyun
Cho Jae-hyun is a South Korean actor and film producer known for his frequent collaborations with director Kim Ki-duk and his prominent roles in Korean cinema and television.
- 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: Ahn Soo-hyun Triple: [Assassination, producer, Ahn Soo-hyun]
Generated description
Ahn Soo-hyun is a South Korean film producer best known for producing the acclaimed historical action film "Assassination."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ahn Soo-hyun Target entity description: Ahn Soo-hyun is a South Korean film producer best known for producing the acclaimed historical action film "Assassination."
-
A.
Ahn Seo-hyun
Ahn Seo-hyun is a South Korean actress best known internationally for her lead role in Bong Joon-ho’s film "Okja."
-
B.
Jung Ho-yeon
Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
-
C.
Hwang Jo-yoon
Hwang Jo-yoon is a South Korean screenwriter best known for co-writing the acclaimed neo-noir revenge film "Oldboy."
-
D.
Cho Soo-hyun
Cho Soo-hyun is a South Korean music video director best known for helming PSY’s global hit video "Gangnam Style."
-
E.
Cho Jae-hyun
Cho Jae-hyun is a South Korean actor and film producer known for his frequent collaborations with director Kim Ki-duk and his prominent roles in Korean cinema and television.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7eb880348190835a734889e51a36 |
completed | May 18, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_6a0b7f6fafd8819080a69add1a42cf3d |
completed | May 18, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8042a61881908e51e41f32487f17 |
completed | May 18, 2026, 9:10 p.m. |
Created at: April 16, 2026, 8:20 p.m.