Triple

T2802569
Position Surface form Disambiguated ID Type / Status
Subject University of Helsinki E53179 entity
Predicate hasNotableAlumnus P51 FINISHED
Object Tarja Halonen E219587 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: Tarja Halonen | Statement: [University of Helsinki, hasNotableAlumnus, Tarja Halonen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarja Halonen
Context triple: [University of Helsinki, hasNotableAlumnus, Tarja Halonen]
  • A. Tarja Halonen chosen
    Tarja Halonen is a Finnish politician who served as the first female President of Finland from 2000 to 2012.
  • B. Marja-Leena Niinistö
    Marja-Leena Niinistö was the first wife of Finnish politician and former President Sauli Niinistö, with whom she had two sons before her death in a car accident in 1995.
  • C. Sylvi Kekkonen
    Sylvi Kekkonen was a Finnish writer and the long-serving First Lady of Finland during the presidency of her husband, Urho Kekkonen.
  • D. Eeva Ahtisaari
    Eeva Ahtisaari is a Finnish educator and former First Lady of Finland, known for her public service and support of social and cultural causes during and after her husband Martti Ahtisaari’s presidency.
  • E. Märta Tikkanen
    Märta Tikkanen is a Finnish-Swedish author and feminist known for her influential novels and poetry exploring gender roles, marriage, and women's liberation.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc671964c81908cff1cfbd70c3786 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.