Triple
T4410862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung |
E94848
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Joung |
E232087
|
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: Joung | Statement: [Jung, hasVariantTransliteration, Joung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joung Context triple: [Jung, hasVariantTransliteration, Joung]
-
A.
Yong
Yong is a variant transliteration of the Chinese surname and given name commonly romanized as Yang.
-
B.
Die Young
"Die Young" is a breakout 2018 hip-hop single by Roddy Ricch that reflects on mortality, street life, and the desire to escape a violent environment.
-
C.
Jeong
chosen
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
-
D.
Yoo
Yoo is a Korean surname shared by numerous individuals, including notable figures in politics, diplomacy, entertainment, and academia.
-
E.
Yoo
Yoo is a global design and lifestyle brand known for its high-end residential and hotel projects created in collaboration with renowned designers and architects.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136465c48190a5bdab81fe1438c4 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:29 p.m.