Triple
T17303627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Wilhelm Schlegel |
E420099
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schlegel |
E117466
|
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: Schlegel | Statement: [August Wilhelm Schlegel, familyName, Schlegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlegel Context triple: [August Wilhelm Schlegel, familyName, Schlegel]
-
A.
Schlegel
chosen
Schlegel is a German surname most notably associated with the influential Romantic-era literary critics and philosophers August Wilhelm Schlegel and Friedrich Schlegel.
-
B.
Schlegelberger
Schlegelberger is a German surname most notably associated with Franz Schlegelberger, a high-ranking Nazi-era jurist and acting Reich Minister of Justice.
-
C.
Meyer-Hetling
Meyer-Hetling is a German surname most notably associated with Konrad Meyer-Hetling, an agronomist and SS officer involved in Nazi settlement planning.
-
D.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
-
E.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fc732481909065afddc5c687d4 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180de8340819081eae1104d705de0 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:41 a.m.