Triple
T11724751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Straube |
E278733
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Günther Ramin |
E1162904
|
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: Günther Ramin | Statement: [Karl Straube, influenced, Günther Ramin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Günther Ramin Context triple: [Karl Straube, influenced, Günther Ramin]
-
A.
Günther Ramin
chosen
Günther Ramin was a prominent German organist, conductor, and composer best known for leading the Thomanerchor in Leipzig during the mid-20th century.
-
B.
Hans Reimann
Hans Reimann was a German World War I fighter pilot who served as a notable member of the renowned Jasta 2 fighter squadron.
-
C.
Wolfgang Böhmer
Wolfgang Böhmer is a German politician from the Christian Democratic Union (CDU) who served as Minister-President of the federal state of Saxony-Anhalt in the early 2000s.
-
D.
Oskar Fischer
Oskar Fischer was a German neurologist and psychiatrist known for his early research on dementia and the pathological changes associated with Alzheimer’s disease.
-
E.
Helmut Veith
Helmut Veith was an Austrian computer scientist renowned for his contributions to logic in computer science, formal verification, and model checking.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ade75c8190b556c3b0ba692a96 |
completed | May 9, 2026, 3:45 p.m. |
Created at: April 8, 2026, 9:41 p.m.