Triple
T15676641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Gut-Behrami |
E377459
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Lara Gut-Behrami |
E377459
|
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: Lara Gut-Behrami | Statement: [Lara Gut-Behrami, fullName, Lara Gut-Behrami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Gut-Behrami Context triple: [Lara Gut-Behrami, fullName, Lara Gut-Behrami]
-
A.
Lara Gut-Behrami
chosen
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.
-
B.
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.
-
C.
Christine Buchegger
Christine Buchegger was an Austrian actress known for her work in European film and television, including roles in psychologically intense dramas.
-
D.
Elia Zurbriggen
Elia Zurbriggen is a Swiss alpine skier known for competing in international skiing competitions.
-
E.
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.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.