Triple
T15670945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niki Rüttimann |
E377308
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Niki Rüttimann |
E377308
|
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: Niki Rüttimann | Statement: [Niki Rüttimann, name, Niki Rüttimann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niki Rüttimann Context triple: [Niki Rüttimann, name, Niki Rüttimann]
-
A.
Niki Rüttimann
chosen
Niki Rüttimann is a Swiss former professional road cyclist known for his successes in major European stage races during the 1980s.
-
B.
Franz Tost
Franz Tost is an Austrian motorsport manager best known for his long tenure as team principal of Red Bull’s junior Formula One team, formerly known as Toro Rosso and later as Scuderia AlphaTauri.
-
C.
Loris Martini
Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
-
D.
Jason Alesi
Jason Alesi is a musician best known for his past role in the American rap rock band Gym Class Heroes.
-
E.
Rainer Vossen
Rainer Vossen is a linguist known for his extensive research on Khoe and other Khoisan languages of southern Africa.
- 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_69e04f13b1b08190beabc9f4098aa096 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67a431208190b7e0d1eefd55504a |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:16 a.m.