Triple
T15866068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Souchon |
E384716
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Souchon
Souchon is a German surname most notably associated with Admiral Wilhelm Souchon, a key naval commander during World War I.
|
E1181782
|
NE FINISHED |
How this triple was built (4 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: Souchon | Statement: [Wilhelm Souchon, familyName, Souchon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Souchon Context triple: [Wilhelm Souchon, familyName, Souchon]
-
A.
Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
-
B.
Souvestre
Souvestre is a French surname notably borne by educator Marie Souvestre, known for her progressive influence on women’s education in the 19th century.
-
C.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
D.
Saicourt
Saicourt is a small municipality in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
E.
Guichen
Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Souchon Triple: [Wilhelm Souchon, familyName, Souchon]
Generated description
Souchon is a German surname most notably associated with Admiral Wilhelm Souchon, a key naval commander during World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Souchon Target entity description: Souchon is a German surname most notably associated with Admiral Wilhelm Souchon, a key naval commander during World War I.
-
A.
Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
-
B.
Souvestre
Souvestre is a French surname notably borne by educator Marie Souvestre, known for her progressive influence on women’s education in the 19th century.
-
C.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
D.
Saicourt
Saicourt is a small municipality in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
E.
Guichen
Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
- F. None of above. chosen
Provenance (5 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555f75e88190bfd0f551d4ccf4cc |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa947ba3881909c602f2fc60dd6e8 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9d6ae788190864b77b787f647eb |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa973274819080889e1b9883b8dc |
completed | May 9, 2026, 9:43 p.m. |
Created at: April 10, 2026, 4:50 a.m.