Triple
T9610563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeong |
E232087
|
entity |
| Predicate | romanizationVariant |
P5923
|
FINISHED |
| Object | Jung |
E94848
|
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: Jung | Statement: [Jeong, romanizationVariant, Jung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jung Context triple: [Jeong, romanizationVariant, Jung]
-
A.
Jung
chosen
Jung is a common German and Korean surname borne by numerous notable individuals across fields such as psychology, politics, sports, and the arts.
-
B.
Hermann Jung
Hermann Jung was a 19th-century Swiss labor leader and prominent member of the International Workingmen's Association (First International).
-
C.
Carl Jung
Carl Jung was a Swiss psychiatrist and psychoanalyst who founded analytical psychology and introduced influential concepts such as the collective unconscious and archetypes.
-
D.
George Jung
George Jung was an American drug trafficker and key figure in the U.S. cocaine trade of the 1970s and 1980s, whose life story inspired the film "Blow."
-
E.
Erich Neumann
Erich Neumann was a German economist and Nazi official who held senior positions in the Third Reich’s economic administration and participated in high-level policy meetings during World War II.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a85d4c881909ccab2e972d97e68 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d179513f9081909bcd9a456c640ba3 |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:08 p.m.