Triple
T11391801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasta 2 |
E269858
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object | Kurt Wolff |
E925846
|
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: Kurt Wolff | Statement: [Jasta 2, notableCommander, Kurt Wolff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Wolff Context triple: [Jasta 2, notableCommander, Kurt Wolff]
-
A.
Kurt Wolff
Kurt Wolff was a prominent 20th-century German-American publisher known for championing modernist and international literature.
-
B.
Kurt Wolff
chosen
Kurt Wolff was a German World War I fighter ace renowned for his high victory count and service in elite units of the Luftstreitkräfte.
-
C.
Kurt Friedrichs
Kurt Friedrichs was a German-American mathematician renowned for his foundational contributions to partial differential equations, applied mathematics, and mathematical physics.
-
D.
Walter Mehring
Walter Mehring was a German-Jewish poet, satirist, and cabaret writer associated with the Weimar-era literary and political cabaret scene.
-
E.
Kurt Diebner
Kurt Diebner was a German physicist who played a leading organizational role in Nazi Germany’s nuclear energy project during World War II.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8cc338081908da977b5b7c6bef3 |
completed | April 20, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:34 p.m.