Triple
T22250985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristina Sunshine Jung |
E549976
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | George Jung |
—
|
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: George Jung | Statement: [Kristina Sunshine Jung, hasRelative, George Jung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Jung Context triple: [Kristina Sunshine Jung, hasRelative, George Jung]
-
A.
George Jung
chosen
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."
-
B.
Thomas Jung
Thomas Jung is a German politician who has served as the long-time mayor of the Bavarian city of Fürth.
-
C.
Fred Jung
Fred Jung is a central character in the film "Blow," depicted as a major figure in the American cocaine trade during the 1970s and 1980s.
-
D.
George Juergens
George Juergens is a central character on the teen drama series "The Secret Life of the American Teenager," known as the quirky, overprotective father navigating family turmoil and teenage pregnancy.
-
E.
Carl Werner
Carl Werner is a personal name shared by several notable individuals, including figures in fields such as art, science, and sports.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138befa208190877760dec1896740 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.