Triple
T3814607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emanuel Leutze |
E84220
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Leutze |
E84220
|
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: Leutze | Statement: [Emanuel Leutze, familyName, Leutze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leutze Context triple: [Emanuel Leutze, familyName, Leutze]
-
A.
Leutze
chosen
Leutze is the surname of Emanuel Leutze, a 19th-century German-American painter best known for his iconic work "Washington Crossing the Delaware."
-
B.
Joseph Anton Goebhardt
Joseph Anton Goebhardt was a 19th-century German publisher known for issuing philosophical works, including major texts in German idealism.
-
C.
Blücher
Blücher was a German armored cruiser of the Imperial Navy that served in World War I and was famously sunk during the 1915 Battle of Dogger Bank in the North Sea.
-
D.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
E.
Helmuth
Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8de9e948190bf461e55ad00eddb |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb3ddc1481909fd4a8befb8ece17 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:17 p.m.