Triple
T9397457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ylppö |
E226379
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Arvo Ylppö |
E41099
|
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: Arvo Ylppö | Statement: [Ylppö, notableBearer, Arvo Ylppö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arvo Ylppö Context triple: [Ylppö, notableBearer, Arvo Ylppö]
-
A.
Arvo Ylppö
chosen
Arvo Ylppö was a pioneering Finnish pediatrician credited with dramatically reducing infant mortality in Finland and shaping modern child healthcare in the country.
-
B.
Riikka Nieminen
Riikka Nieminen is a Finnish former ice hockey forward regarded as one of the pioneers and leading scorers in women’s international hockey.
-
C.
Anneli Jäätteenmäki
Anneli Jäätteenmäki is a Finnish politician who briefly served as Finland’s first female prime minister and later became a prominent Member and Vice-President of the European Parliament.
-
D.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
E.
Maila Nurmi
Maila Nurmi was a Finnish-American actress and television personality best known for creating and portraying the iconic 1950s horror hostess character Vampira.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51541020819097da2eb60be73760 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1011aef64819085cbb7e04c2d87b2 |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:46 p.m.