Triple
T21869471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Train to Busan |
E539964
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Soo-an
Soo-an is the young daughter of the protagonist in the South Korean zombie film "Train to Busan," whose emotional journey and moral clarity anchor the story.
|
E1507833
|
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: Soo-an | Statement: [Train to Busan, mainCharacter, Soo-an]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soo-an Context triple: [Train to Busan, mainCharacter, Soo-an]
-
A.
Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
-
B.
Ju-Hee
Ju-Hee is the child of Ji-Yoon Kim, likely a member of a Korean family.
-
C.
Soyeon
Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
-
D.
Ji-Yoon
Ji-Yoon is a Korean given name that can be used for people of any gender, though it is more commonly given to women.
-
E.
Jihae
Jihae is a South Korean singer, songwriter, and actress known for her role in the National Geographic science-fiction series "Mars."
- 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: Soo-an Triple: [Train to Busan, mainCharacter, Soo-an]
Generated description
Soo-an is the young daughter of the protagonist in the South Korean zombie film "Train to Busan," whose emotional journey and moral clarity anchor the story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soo-an Target entity description: Soo-an is the young daughter of the protagonist in the South Korean zombie film "Train to Busan," whose emotional journey and moral clarity anchor the story.
-
A.
Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
-
B.
Ju-Hee
Ju-Hee is the child of Ji-Yoon Kim, likely a member of a Korean family.
-
C.
Soyeon
Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
-
D.
Ji-Yoon
Ji-Yoon is a Korean given name that can be used for people of any gender, though it is more commonly given to women.
-
E.
Jihae
Jihae is a South Korean singer, songwriter, and actress known for her role in the National Geographic science-fiction series "Mars."
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f334362c819094af465ee57b47e6 |
completed | April 28, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a59f900488190b06db217e61a6270 |
completed | May 18, 2026, 12:14 a.m. |
| NEDg | Description generation | batch_6a0a5b34e1948190868859eae050ed22 |
completed | May 18, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5bce1c388190aa0149fab353f30f |
completed | May 18, 2026, 12:22 a.m. |
Created at: April 16, 2026, 6:57 p.m.