Triple

T171278
Position Surface form Disambiguated ID Type / Status
Subject Maila Nurmi E3126 entity
Predicate relative P37 FINISHED
Object Sofia Syrjäniemi E22394 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: Sofia Syrjäniemi | Statement: [Maila Nurmi, relative, Sofia Syrjäniemi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Syrjäniemi
Context triple: [Maila Nurmi, relative, Sofia Syrjäniemi]
  • A. Onni Syrjäniemi chosen
    Onni Syrjäniemi was a Finnish-born relative of actress Maila Nurmi, better known as the cult horror icon Vampira.
  • B. Rebekka Karijord
    Rebekka Karijord is a Norwegian-born composer, musician, and singer-songwriter known for her atmospheric, emotionally rich film scores and experimental folk-inspired music.
  • C. 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.
  • D. Ville Peltonen
    Ville Peltonen is a Finnish former professional ice hockey forward renowned for his international success with Finland’s national team and a long career in European leagues and the NHL.
  • E. Tatu Ylönen
    Tatu Ylönen is a Finnish computer scientist and entrepreneur best known for creating the Secure Shell (SSH) protocol and founding SSH Communications Security.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b94d00819098e90bdfa1306f9f completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305e3686c8190a6124673b83187d9 completed Feb. 28, 2026, 3:12 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.