Triple

T10042416
Position Surface form Disambiguated ID Type / Status
Subject Arvo E205327 entity
Predicate hasNotableBearer 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: [Arvo, hasNotableBearer, Arvo Ylppö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arvo Ylppö
Context triple: [Arvo, hasNotableBearer, 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. Kirsti Paakkanen
    Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
  • E. Mari Leppänen
    Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee48d8c8190af7c93b60f8ca7cb completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28278235c8190a5e833a9586bd3f5 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.