Triple
T12800390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schweitzer |
E306001
|
entity |
| Predicate | isRelatedToSurname |
P3889
|
FINISHED |
| Object |
Schwyzer
Schwyzer is a surname of Swiss-German origin, likely associated with people or families from the Swiss canton of Schwyz.
|
E282362
|
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: Schwyzer | Statement: [Schweitzer, isRelatedToSurname, Schwyzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwyzer Context triple: [Schweitzer, isRelatedToSurname, Schwyzer]
-
A.
Zwyssig
Zwyssig is a Swiss surname most notably associated with Alberich Zwyssig, the composer of the Swiss national anthem.
-
B.
Berner
A Berner is a resident or native of the Swiss city of Bern.
-
C.
Schweizer
Schweizer is one of the key members of Karl Moor’s band of outlaws in Friedrich Schiller’s play "Die Räuber," embodying the rebellious and violent spirit of the robbers.
-
D.
Schwyz
Schwyz is a historic canton in central Switzerland, known as one of the founding members that gave the Swiss Confederation its name.
-
E.
Deutschschweiz
Deutschschweiz is the predominantly German-speaking region of Switzerland, encompassing major cities like Zurich, Basel, and Bern and forming the country's largest linguistic and cultural area.
- 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: Schwyzer Triple: [Schweitzer, isRelatedToSurname, Schwyzer]
Generated description
Schwyzer is a surname of Swiss-German origin, likely associated with people or families from the Swiss canton of Schwyz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwyzer Target entity description: Schwyzer is a surname of Swiss-German origin, likely associated with people or families from the Swiss canton of Schwyz.
-
A.
Zwyssig
Zwyssig is a Swiss surname most notably associated with Alberich Zwyssig, the composer of the Swiss national anthem.
-
B.
Berner
A Berner is a resident or native of the Swiss city of Bern.
-
C.
Schweizer
Schweizer is one of the key members of Karl Moor’s band of outlaws in Friedrich Schiller’s play "Die Räuber," embodying the rebellious and violent spirit of the robbers.
-
D.
Schwyz
chosen
Schwyz is a historic canton in central Switzerland, known as one of the founding members that gave the Swiss Confederation its name.
-
E.
Deutschschweiz
Deutschschweiz is the predominantly German-speaking region of Switzerland, encompassing major cities like Zurich, Basel, and Bern and forming the country's largest linguistic and cultural area.
- F. None of above.
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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7d3f5c8190bf01bef5d263ca26 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec0d5dc819099a8036c6cbac634 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f6908cb8ec8190855b217c13a51f16 |
completed | May 3, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6917688508190ae5a64494eaadce7 |
completed | May 3, 2026, 12:06 a.m. |
Created at: April 9, 2026, 5:30 p.m.