Triple

T19410716
Position Surface form Disambiguated ID Type / Status
Subject Miss Granny E485578 entity
Predicate screenwriter P2831 FINISHED
Object Hong Yoon-jeong
Hong Yoon-jeong is a South Korean screenwriter best known for her work on the hit fantasy-comedy film "Miss Granny."
E1381385 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: Hong Yoon-jeong | Statement: [Miss Granny, screenwriter, Hong Yoon-jeong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Yoon-jeong
Context triple: [Miss Granny, screenwriter, Hong Yoon-jeong]
  • A. Jeon Hye-jin
    Jeon Hye-jin is a South Korean actress known for her work in film and television.
  • B. Son Hwa-jung
    Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
  • C. Han Ye-ri
    Han Ye-ri is a South Korean actress known for her nuanced performances in film and television, including her acclaimed role in the drama "Minari."
  • D. Koo Hye-sun
    Koo Hye-sun is a South Korean actress, director, singer-songwriter, and artist best known for her leading role in the hit drama "Boys Over Flowers" and her multifaceted work in film and music.
  • E. Lee In-hee
    Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
  • 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: Hong Yoon-jeong
Triple: [Miss Granny, screenwriter, Hong Yoon-jeong]
Generated description
Hong Yoon-jeong is a South Korean screenwriter best known for her work on the hit fantasy-comedy film "Miss Granny."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hong Yoon-jeong
Target entity description: Hong Yoon-jeong is a South Korean screenwriter best known for her work on the hit fantasy-comedy film "Miss Granny."
  • A. Jeon Hye-jin
    Jeon Hye-jin is a South Korean actress known for her work in film and television.
  • B. Son Hwa-jung
    Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
  • C. Han Ye-ri
    Han Ye-ri is a South Korean actress known for her nuanced performances in film and television, including her acclaimed role in the drama "Minari."
  • D. Koo Hye-sun
    Koo Hye-sun is a South Korean actress, director, singer-songwriter, and artist best known for her leading role in the hit drama "Boys Over Flowers" and her multifaceted work in film and music.
  • E. Lee In-hee
    Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
  • 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_6a074e6768bc8190beb1591350353056 completed May 15, 2026, 4:48 p.m.
NEDg Description generation batch_6a074f8a2a908190925acc2d7c73090d completed May 15, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_6a074fed47bc8190b1a78dcc50345ca4 completed May 15, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:37 p.m.