Triple

T3450799
Position Surface form Disambiguated ID Type / Status
Subject SIGKDD Service Award E72788 entity
Predicate notableRecipient P108 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: [SIGKDD Service Award, notableRecipient, Heikki Mannila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heikki Mannila
Context triple: [SIGKDD Service Award, notableRecipient, 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. Hannu Heikkinen
    Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
  • C. 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.
  • D. Bertil Huttunen
    Bertil Huttunen was an architect associated with the design of Toronto City Hall.
  • E. Hjalmar Siilasvuo
    Hjalmar Siilasvuo was a Finnish general renowned for his leadership in key Winter War battles against the Soviet Union, which made him one of Finland’s most celebrated military commanders.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7324508190b07943cec3ecdb59 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367fc4e8c81909fb57634113369fa completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:16 p.m.