Triple
T21281805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bong Joon-ho |
E524543
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jung Sun-young |
—
|
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 Sun-young | Statement: [Bong Joon-ho, spouse, Jung Sun-young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jung Sun-young Context triple: [Bong Joon-ho, spouse, Jung Sun-young]
-
A.
Jung Sun-young
chosen
Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
-
B.
Jung Jin-young
Jung Jin-young is a South Korean actor known for his versatile performances in film and television, often portraying complex and emotionally resonant characters.
-
C.
Suh Jin-suk
Suh Jin-suk is a notable individual who prominently bears the Korean surname Suh.
-
D.
Jung Ho-yeon
Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
-
E.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d249fc8190b0b310467ddeac3c |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:02 p.m.