Triple
T2927338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Streicher |
E78876
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Streicher |
E78876
|
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: Streicher | Statement: [Julius Streicher, familyName, Streicher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Streicher Context triple: [Julius Streicher, familyName, Streicher]
-
A.
Streicher
chosen
Streicher is a German surname most infamously associated with Julius Streicher, a prominent Nazi propagandist and publisher of the antisemitic newspaper Der Stürmer.
-
B.
Straubel
Straubel is a surname most prominently associated with JB Straubel, the co-founder and former Chief Technology Officer of Tesla, Inc.
-
C.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
-
D.
Ruländer
Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
-
E.
Stölzl
Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08668a204819082b13e6ce62d5728 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:55 p.m.