Triple
T3956075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parasite |
E84979
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Yang Jin-mo
Yang Jin-mo is a South Korean film editor best known for his acclaimed work on the Academy Award–winning film "Parasite."
|
E404465
|
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: Yang Jin-mo | Statement: [Parasite, editedBy, Yang Jin-mo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yang Jin-mo Context triple: [Parasite, editedBy, Yang Jin-mo]
-
A.
Jin Ha
Jin Ha is a Korean-American actor known for his roles in television series such as "Devs" and "Pachinko," as well as his work on stage in productions like "Hamilton."
-
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.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
D.
Heo Jeong
Heo Jeong was a South Korean politician who served as prime minister and played a significant role in the country’s early post-war democratic politics.
-
E.
Lee Hak-rae
Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
- 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: Yang Jin-mo Triple: [Parasite, editedBy, Yang Jin-mo]
Generated description
Yang Jin-mo is a South Korean film editor best known for his acclaimed work on the Academy Award–winning film "Parasite."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yang Jin-mo Target entity description: Yang Jin-mo is a South Korean film editor best known for his acclaimed work on the Academy Award–winning film "Parasite."
-
A.
Jin Ha
Jin Ha is a Korean-American actor known for his roles in television series such as "Devs" and "Pachinko," as well as his work on stage in productions like "Hamilton."
-
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.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
D.
Heo Jeong
Heo Jeong was a South Korean politician who served as prime minister and played a significant role in the country’s early post-war democratic politics.
-
E.
Lee Hak-rae
Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93f3ad48190b96b98b4aecd6030 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fff53b88190a268c90889f7b5b6 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b540eb53788190aa281ee38edc1729 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541a55cb081909ec1f87a7553b6f2 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:30 p.m.