Triple
T9444593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunta Stölzl |
E227731
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stölzl |
E227731
|
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: Stölzl | Statement: [Gunta Stölzl, familyName, Stölzl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stölzl Context triple: [Gunta Stölzl, familyName, Stölzl]
-
A.
Stölzl
chosen
Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
-
B.
Pölzl
Pölzl is the maiden surname of Klara Hitler, the mother of Adolf Hitler.
-
C.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
D.
Leißling
Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
-
E.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f32aee88190a43573f97fa1e49d |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110669ca48190bbaf772e2e6aa457 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:51 p.m.