Triple
T5757905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Jung-jae |
E127015
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Lee Jung-gu in The Housemaid
Lee Jung-gu in *The Housemaid* is a central male character whose illicit affair with a domestic worker triggers a cascade of tragedy and moral collapse within his affluent household.
|
E543407
|
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: Lee Jung-gu in The Housemaid | Statement: [Lee Jung-jae, hasRole, Lee Jung-gu in The Housemaid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Jung-gu in The Housemaid Context triple: [Lee Jung-jae, hasRole, Lee Jung-gu in The Housemaid]
-
A.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
B.
Ban Hyun-hee
Ban Hyun-hee is a child of Yoo Soon-taek, who is known as the spouse of former UN Secretary-General Ban Ki-moon.
-
C.
Jung Sun-young
Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
-
D.
Hae-in Jung
Hae-in Jung is a South Korean actor known for his roles in television dramas and films.
-
E.
Kim Sung-ae
Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
- 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: Lee Jung-gu in The Housemaid Triple: [Lee Jung-jae, hasRole, Lee Jung-gu in The Housemaid]
Generated description
Lee Jung-gu in *The Housemaid* is a central male character whose illicit affair with a domestic worker triggers a cascade of tragedy and moral collapse within his affluent household.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Jung-gu in The Housemaid Target entity description: Lee Jung-gu in *The Housemaid* is a central male character whose illicit affair with a domestic worker triggers a cascade of tragedy and moral collapse within his affluent household.
-
A.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
B.
Ban Hyun-hee
Ban Hyun-hee is a child of Yoo Soon-taek, who is known as the spouse of former UN Secretary-General Ban Ki-moon.
-
C.
Jung Sun-young
Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
-
D.
Hae-in Jung
Hae-in Jung is a South Korean actor known for his roles in television dramas and films.
-
E.
Kim Sung-ae
Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029363c988190b12f3f7b68295748 |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e4c70808190a31bb41d4baa5865 |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c086e3b6d8819096f1c7571a2b6f5b |
completed | March 23, 2026, 12:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0879425b88190bf989710847315c9 |
completed | March 23, 2026, 12:21 a.m. |
Created at: March 22, 2026, 3:49 p.m.