Triple
T7646282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège du Léman |
E173130
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Francis Clivaz
Francis Clivaz is a Swiss educator best known for establishing the international private school Collège du Léman near Geneva.
|
E685428
|
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: Francis Clivaz | Statement: [Collège du Léman, founder, Francis Clivaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Clivaz Context triple: [Collège du Léman, founder, Francis Clivaz]
-
A.
Pierre Dufour
Pierre Dufour is a relatively obscure individual whose name is notably associated with the surname Dufour rather than with widely recognized public achievements.
-
B.
Claude Nicollier
Claude Nicollier is a Swiss astrophysicist and former ESA astronaut who became the first Swiss citizen in space and flew on four Space Shuttle missions.
-
C.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
D.
Ueli Suter
Ueli Suter is a Swiss computer scientist known for his contributions to computer architecture and his leadership roles in academia.
-
E.
Ueli Maurer
Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
- 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: Francis Clivaz Triple: [Collège du Léman, founder, Francis Clivaz]
Generated description
Francis Clivaz is a Swiss educator best known for establishing the international private school Collège du Léman near Geneva.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francis Clivaz Target entity description: Francis Clivaz is a Swiss educator best known for establishing the international private school Collège du Léman near Geneva.
-
A.
Pierre Dufour
Pierre Dufour is a relatively obscure individual whose name is notably associated with the surname Dufour rather than with widely recognized public achievements.
-
B.
Claude Nicollier
Claude Nicollier is a Swiss astrophysicist and former ESA astronaut who became the first Swiss citizen in space and flew on four Space Shuttle missions.
-
C.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
D.
Ueli Suter
Ueli Suter is a Swiss computer scientist known for his contributions to computer architecture and his leadership roles in academia.
-
E.
Ueli Maurer
Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf3bd388190a8cb0f13322a7c00 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be1db7548190a6a6d280922a195d |
completed | March 29, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69c8bef91cf081908d9d9c689c918905 |
completed | March 29, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bf5aa1348190a5c369bece6fb6db |
completed | March 29, 2026, 5:57 a.m. |
Created at: March 27, 2026, 3:58 p.m.