Triple
T18299548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ji-hyun Jung |
E438321
|
entity |
| Predicate | hasRomanization |
P2508
|
FINISHED |
| Object | Jung Ji-hyun |
—
|
NE NERFINISHED |
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: Jung Ji-hyun | Statement: [Ji-hyun Jung, hasRomanization, Jung Ji-hyun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jung Ji-hyun Context triple: [Ji-hyun Jung, hasRomanization, Jung Ji-hyun]
-
A.
Jeong Ji-hyun
chosen
Jeong Ji-hyun is a Korean individual whose name is romanized from the Korean name Ji-hyun Jung.
-
B.
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."
-
C.
Jeon Hye-jin
Jeon Hye-jin is a South Korean actress known for her work in film and television.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017e88cc8190a969eb628ca1b496 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.