Triple
T11534436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf Hurwitz |
E273508
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Ernst Hellinger |
E837389
|
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: Ernst Hellinger | Statement: [Adolf Hurwitz, notableStudent, Ernst Hellinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernst Hellinger Context triple: [Adolf Hurwitz, notableStudent, Ernst Hellinger]
-
A.
Ernst Hellinger
chosen
Ernst Hellinger was a German mathematician known for his contributions to functional analysis and measure theory, including work that led to the concept now called the Hellinger distance.
-
B.
Hans Hahn
Hans Hahn was an Austrian mathematician and key member of the Vienna Circle, known for his work in functional analysis and the foundations of mathematics.
-
C.
Wilhelm Wirtinger
Wilhelm Wirtinger was an Austrian mathematician known for his contributions to complex analysis, algebraic geometry, and knot theory.
-
D.
Heinz Weber
Heinz Weber is a German former professional football goalkeeper known for his career in the Bundesliga and other European leagues.
-
E.
Fritz John
Fritz John was a German-American mathematician renowned for his contributions to partial differential equations, calculus of variations, and functional analysis.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839b4bb48190b748ec4119f36c11 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12d90b608190b43fc3aa138aa856 |
completed | April 27, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:37 p.m.