Triple

T12661779
Position Surface form Disambiguated ID Type / Status
Subject Pierre Fournier E302441 entity
Predicate notableStudent P4838 FINISHED
Object Arto Noras E809166 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: Arto Noras | Statement: [Pierre Fournier, notableStudent, Arto Noras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arto Noras
Context triple: [Pierre Fournier, notableStudent, Arto Noras]
  • A. Arto Noras chosen
    Arto Noras is a renowned Finnish cellist celebrated for his international solo career, chamber music performances, and influential teaching.
  • B. Paavo Rintala
    Paavo Rintala was a Finnish novelist, journalist, and theologian known for his socially and politically engaged works exploring war, faith, and Finnish identity.
  • C. Kalevi Sorsa
    Kalevi Sorsa was a prominent Finnish Social Democratic politician who served multiple terms as Prime Minister of Finland and was a central figure in the country’s postwar political life.
  • D. Erkki Tuomioja
    Erkki Tuomioja is a Finnish politician and long-serving Social Democratic Party member who has held multiple ministerial posts, including Minister for Foreign Affairs.
  • E. Jorma Rissanen
    Jorma Rissanen was a Finnish information theorist best known for pioneering the Minimum Description Length (MDL) principle and making foundational contributions to data compression and statistical modeling.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617c5b888190b37d4ede139bb49e completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688819fc8190bc03a1a11f96d25f completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.