Triple

T22003786
Position Surface form Disambiguated ID Type / Status
Subject The Housemaid (2010 film) E543398 entity
Predicate editedBy P1954 FINISHED
Object Eun Soo-kyung
Eun Soo-kyung is a South Korean film editor known for her work on notable contemporary Korean cinema, including the 2010 thriller "The Housemaid."
E1547160 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: Eun Soo-kyung | Statement: [The Housemaid (2010 film), editedBy, Eun Soo-kyung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eun Soo-kyung
Context triple: [The Housemaid (2010 film), editedBy, Eun Soo-kyung]
  • A. Seol Hye-in
    Seol Hye-in is a South Korean actress known for her role in the coming-of-age film "The World of Us."
  • B. Won Jin-ah
    Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
  • C. Kim So-yeon
    Kim So-yeon, better known as Soyeon Schröder-Kim, is a South Korean-born interpreter who is publicly known as the wife of former German Chancellor Gerhard Schröder.
  • D. Jang Hye-jin
    Jang Hye-jin is a South Korean actress best known internationally for her role as the resourceful housekeeper in the Academy Award–winning film "Parasite."
  • E. Jeon Hye-jin
    Jeon Hye-jin is a South Korean actress known for her work in film 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: Eun Soo-kyung
Triple: [The Housemaid (2010 film), editedBy, Eun Soo-kyung]
Generated description
Eun Soo-kyung is a South Korean film editor known for her work on notable contemporary Korean cinema, including the 2010 thriller "The Housemaid."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eun Soo-kyung
Target entity description: Eun Soo-kyung is a South Korean film editor known for her work on notable contemporary Korean cinema, including the 2010 thriller "The Housemaid."
  • A. Seol Hye-in
    Seol Hye-in is a South Korean actress known for her role in the coming-of-age film "The World of Us."
  • B. Won Jin-ah
    Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
  • C. Kim So-yeon
    Kim So-yeon, better known as Soyeon Schröder-Kim, is a South Korean-born interpreter who is publicly known as the wife of former German Chancellor Gerhard Schröder.
  • D. Jang Hye-jin
    Jang Hye-jin is a South Korean actress best known internationally for her role as the resourceful housekeeper in the Academy Award–winning film "Parasite."
  • E. Jeon Hye-jin
    Jeon Hye-jin is a South Korean actress known for her work in film 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_6a0b58463ae481908cc49d6b525470b1 completed May 18, 2026, 6:19 p.m.
NEDg Description generation batch_6a0b6f5b85548190bd54f5a13dd27c5d completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b706cba28819091d40e7832e61f97 completed May 18, 2026, 8:02 p.m.
Created at: April 16, 2026, 8:20 p.m.