Triple
T15412258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan H. Meltzer |
E368621
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Karl Brunner |
—
|
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: Karl Brunner | Statement: [Allan H. Meltzer, influencedBy, Karl Brunner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Brunner Context triple: [Allan H. Meltzer, influencedBy, Karl Brunner]
-
A.
Karl Brunner
chosen
Karl Brunner was a Swiss-born economist known as a leading figure in monetarist theory and for his influential work on monetary policy and central banking.
-
B.
Franz Eichberger
Franz Eichberger was an Austrian actor best known for his role in Leni Riefenstahl’s film "Tiefland."
-
C.
Werner Gruner
Werner Gruner was a German engineer and weapons designer best known for creating the MG 42 general-purpose machine gun used by Nazi Germany during World War II.
-
D.
Ferdinand Kurlbaum
Ferdinand Kurlbaum was a German physicist known for his pioneering work in thermal radiation and precision measurement at the turn of the 20th century.
-
E.
Gotthard Graubner
Gotthard Graubner was a German painter renowned for his abstract color-space works that explored the materiality and depth of color.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea600b48190a3dbca1a68a2a1cd |
completed | April 16, 2026, 1:43 a.m. |
Created at: April 10, 2026, 3:20 a.m.