Triple

T8789170
Position Surface form Disambiguated ID Type / Status
Subject Jenni Haukio E209116 entity
Predicate name P16 FINISHED
Object Jenni Haukio E209116 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: Jenni Haukio | Statement: [Jenni Haukio, name, Jenni Haukio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenni Haukio
Context triple: [Jenni Haukio, name, Jenni Haukio]
  • A. Jenni Haukio chosen
    Jenni Haukio is a Finnish poet and political scientist who served as the First Lady of Finland during Sauli Niinistö’s presidency.
  • B. Johanna Luukkonen
    Johanna Luukkonen is a Finnish public administrator who has served as the municipal manager of the town of Laitila in Southwest Finland.
  • C. Mari Leppänen
    Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
  • D. Aino Kallio
    Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
  • E. Sofi Oksanen
    Sofi Oksanen is a Finnish-Estonian author and playwright renowned for her politically charged novels exploring Eastern European history, memory, and trauma, such as the internationally acclaimed "Purge."
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8b0c108190af53d4bb9b132c5c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.