Triple
T11861998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artur Schnabel |
E282181
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Axenstein |
E246982
|
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: Axenstein | Statement: [Artur Schnabel, placeOfDeath, Axenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axenstein Context triple: [Artur Schnabel, placeOfDeath, Axenstein]
-
A.
Allenstein
chosen
Allenstein, now known as Olsztyn, is a historic city in northern Poland that once served as an important administrative and cultural center of East Prussia.
-
B.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
C.
Eversmann
Eversmann is a surname most notably associated with Matt Eversmann, a U.S. Army Ranger whose actions during the Battle of Mogadishu were depicted in the book and film "Black Hawk Down."
-
D.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
E.
Frauenstein
Frauenstein is a small historic town in the Free State of Saxony in eastern Germany, known for its medieval castle ruins and scenic Ore Mountains surroundings.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69b16bc8190999a0c1240f9ce6a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281844c048190b5476343113f2436 |
completed | April 29, 2026, 10:09 p.m. |
Created at: April 8, 2026, 9:43 p.m.