Triple
T19410734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Granny |
E485578
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Park In-hwan
Park In-hwan is a veteran South Korean actor known for his prolific career in film, television, and theater, often portraying warm, comedic, or paternal characters.
|
E1396556
|
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: Park In-hwan | Statement: [Miss Granny, stars, Park In-hwan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park In-hwan Context triple: [Miss Granny, stars, Park In-hwan]
-
A.
Lee Chang-ho
Lee Chang-ho is a legendary South Korean professional Go player renowned for his precise, endgame-focused style and long-standing dominance of the international Go scene.
-
B.
Yoon Je-moon
Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
-
C.
Suh Do-ho
Suh Do-ho is a South Korean contemporary artist internationally recognized for his intricate, large-scale installations that explore themes of home, identity, and personal space.
-
D.
Min Kyung-ho
Min Kyung-ho is a Korean individual notable primarily for bearing the given name "Min."
-
E.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
- 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: Park In-hwan Triple: [Miss Granny, stars, Park In-hwan]
Generated description
Park In-hwan is a veteran South Korean actor known for his prolific career in film, television, and theater, often portraying warm, comedic, or paternal characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Park In-hwan Target entity description: Park In-hwan is a veteran South Korean actor known for his prolific career in film, television, and theater, often portraying warm, comedic, or paternal characters.
-
A.
Lee Chang-ho
Lee Chang-ho is a legendary South Korean professional Go player renowned for his precise, endgame-focused style and long-standing dominance of the international Go scene.
-
B.
Yoon Je-moon
Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
-
C.
Suh Do-ho
Suh Do-ho is a South Korean contemporary artist internationally recognized for his intricate, large-scale installations that explore themes of home, identity, and personal space.
-
D.
Min Kyung-ho
Min Kyung-ho is a Korean individual notable primarily for bearing the given name "Min."
-
E.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af4cc0c81909056b5e2ee574ab1 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccb1ef608190af8bd4e7cd8c63cf |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce0ee7ac8190af90a2ab043da4c2 |
completed | May 16, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ce5e36f48190ba3b0b44a74262c4 |
completed | May 16, 2026, 1:54 a.m. |
Created at: April 10, 2026, 1:37 p.m.