Triple
T9672979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurbriggen |
E234073
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Elia Zurbriggen
Elia Zurbriggen is a Swiss alpine skier known for competing in international skiing competitions.
|
E816102
|
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: Elia Zurbriggen | Statement: [Zurbriggen, hasNotableBearer, Elia Zurbriggen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elia Zurbriggen Context triple: [Zurbriggen, hasNotableBearer, Elia Zurbriggen]
-
A.
Heidi Zurbriggen
Heidi Zurbriggen is a former Swiss alpine skier who competed at the international level in the late 20th century.
-
B.
Pirmin Zurbriggen
Pirmin Zurbriggen is a retired Swiss alpine ski racer who dominated the sport in the 1980s, winning multiple World Cup overall titles and an Olympic gold medal.
-
C.
Lara Gut-Behrami
Lara Gut-Behrami is a Swiss World Cup alpine ski racer and Olympic champion known for her success in speed events such as super-G and downhill.
-
D.
Miroslava Federer
Miroslava Federer is a former Slovak-born Swiss professional tennis player and the wife of tennis legend Roger Federer.
-
E.
Marie-José Clivaz
Marie-José Clivaz is an educator and school leader best known for co-founding the international private school Collège du Léman in Switzerland.
- 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: Elia Zurbriggen Triple: [Zurbriggen, hasNotableBearer, Elia Zurbriggen]
Generated description
Elia Zurbriggen is a Swiss alpine skier known for competing in international skiing competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elia Zurbriggen Target entity description: Elia Zurbriggen is a Swiss alpine skier known for competing in international skiing competitions.
-
A.
Heidi Zurbriggen
Heidi Zurbriggen is a former Swiss alpine skier who competed at the international level in the late 20th century.
-
B.
Pirmin Zurbriggen
Pirmin Zurbriggen is a retired Swiss alpine ski racer who dominated the sport in the 1980s, winning multiple World Cup overall titles and an Olympic gold medal.
-
C.
Lara Gut-Behrami
Lara Gut-Behrami is a Swiss World Cup alpine ski racer and Olympic champion known for her success in speed events such as super-G and downhill.
-
D.
Miroslava Federer
Miroslava Federer is a former Slovak-born Swiss professional tennis player and the wife of tennis legend Roger Federer.
-
E.
Marie-José Clivaz
Marie-José Clivaz is an educator and school leader best known for co-founding the international private school Collège du Léman in Switzerland.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f70597c81909d461b3d935b02a5 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a022efd48190b0206bbdf3d93b9e |
completed | April 4, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a09ae5b48190b4d0b01cd20ba140 |
completed | April 4, 2026, 11:36 p.m. |
Created at: March 30, 2026, 8:15 p.m.