Triple

T13286860
Position Surface form Disambiguated ID Type / Status
Subject XV Olympiad E316466 entity
Predicate torchLighter P12120 FINISHED
Object Paavo Nurmi E40751 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: Paavo Nurmi | Statement: [XV Olympiad, torchLighter, Paavo Nurmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paavo Nurmi
Context triple: [XV Olympiad, torchLighter, Paavo Nurmi]
  • A. Paavo Nurmi chosen
    Paavo Nurmi was a legendary Finnish middle- and long-distance runner, nicknamed the "Flying Finn," who won nine Olympic gold medals in the 1920s.
  • B. Emil Zátopek
    Emil Zátopek was a legendary Czech long-distance runner renowned for his multiple Olympic gold medals and pioneering, brutally intense training methods.
  • C. Maila Nurmi
    Maila Nurmi was a Finnish-American actress and television personality best known for creating and portraying the iconic 1950s horror hostess character Vampira.
  • D. Peter Snell
    Peter Snell was a legendary New Zealand middle-distance runner and multiple Olympic gold medallist, renowned for his dominance in the 800m and 1500m during the 1960s.
  • E. Peter Snell
    Peter Snell is a British film producer best known for his work on notable 1970s films, including the cult horror classic "The Wicker Man."
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990759ebc8190a9487a59e37a69e2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d26a548190be15872154c9a942 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.