Triple

T14393584
Position Surface form Disambiguated ID Type / Status
Subject Heikki Mannila E356902 entity
Predicate name P16 FINISHED
Object Heikki Mannila E356902 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: Heikki Mannila | Statement: [Heikki Mannila, name, Heikki Mannila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heikki Mannila
Context triple: [Heikki Mannila, name, Heikki Mannila]
  • A. Heikki Mannila chosen
    Heikki Mannila is a Finnish computer scientist known for his influential research in data mining and machine learning, including foundational work on pattern discovery and exploratory data analysis.
  • B. Antti Lindtman
    Antti Lindtman is a Finnish politician who leads the Social Democratic Party and has served as a prominent member of Finland’s Parliament.
  • C. Jukka Keskitalo
    Jukka Keskitalo is a Finnish Lutheran bishop and church leader who serves as the head of the Diocese of Oulu in the Evangelical Lutheran Church of Finland.
  • D. Hannu Heikkinen
    Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
  • E. Janne Jaakkola
    Janne Jaakkola is a Finnish military leader who serves as the professional head of Finland’s armed forces.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.