Triple
T14853686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blow |
E349295
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ermine Jung |
E549974
|
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: Ermine Jung | Statement: [Blow, mainCharacter, Ermine Jung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ermine Jung Context triple: [Blow, mainCharacter, Ermine Jung]
-
A.
Ermine Jung
chosen
Ermine Jung is a relative of notorious American drug trafficker George Jung, who was a key figure in the U.S. cocaine trade in the 1970s and 1980s.
-
B.
Julie von Webenau
Julie von Webenau was a 19th-century Austrian pianist and composer known for her salon pieces and connections with prominent Romantic-era musicians.
-
C.
Emma Kunz
Emma Kunz was a Swiss healer, researcher, and artist known for her geometric drawings and work with natural remedies, particularly the healing rock AION A.
-
D.
Emma Kunz
Emma Kunz was the wife of German engineer and automobile pioneer Gottlieb Daimler.
-
E.
Rosalie Winter
Rosalie Winter is a key supporting character in the television comedy series "Blunt Talk," serving as a fiercely competent and loyal producer who helps manage the chaotic life and career of news anchor Walter Blunt.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6506ace48190819504b93f575660 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.