Triple

T17127398
Position Surface form Disambiguated ID Type / Status
Subject Jang Hye-jin E415632 entity
Predicate nativeName P15 FINISHED
Object 장혜진 E415632 NE FINISHED

How this triple was built (2 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: 장혜진 | Statement: [Jang Hye-jin, nativeName, 장혜진]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 장혜진
Context triple: [Jang Hye-jin, nativeName, 장혜진]
  • A. Jang Hye-jin chosen
    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."
  • B. Koh Hyun-jung
    Koh Hyun-jung is a prominent South Korean actress and former Miss Korea runner-up, known for her acclaimed roles in television dramas and films.
  • C. Lee Hae-jin
    Lee Hae-jin is a South Korean entrepreneur and technologist best known as the founder and longtime leader of internet giant Naver Corporation.
  • D. Jeong Eun-ji
    Jeong Eun-ji is a South Korean singer and actress best known as the main vocalist of the girl group Apink and for her roles in popular television dramas.
  • E. Son Gi-jeong
    Son Gi-jeong was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing under the Japanese name Son Kitei during Japan’s colonial rule over Korea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f027a3d081908fc1134b50db3d45 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482af1288190b7fdc8a84d0edeaf completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.