Triple

T18065218
Position Surface form Disambiguated ID Type / Status
Subject Markku Alén E432277 entity
Predicate name P16 FINISHED
Object Markku Alén NE NERFINISHED

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: Markku Alén | Statement: [Markku Alén, name, Markku Alén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markku Alén
Context triple: [Markku Alén, name, Markku Alén]
  • A. Markku Alén chosen
    Markku Alén is a Finnish former rally driver renowned for his success in the World Rally Championship during the 1970s and 1980s, particularly with the factory Lancia team.
  • B. Lasse Virén
    Lasse Virén is a Finnish long-distance runner renowned for winning double gold in the 5,000 and 10,000 meters at both the 1972 and 1976 Olympic Games.
  • C. Jukka Jalonen
    Jukka Jalonen is a highly successful Finnish ice hockey coach best known for leading Finland’s national team to multiple World Championship and Olympic medals.
  • D. Paavo Aaltonen
    Paavo Aaltonen was a Finnish artistic gymnast and three-time Olympic gold medalist, best known for his success at the 1948 London Games.
  • E. Jaakko Kivinen
    Jaakko Kivinen is a researcher known for co-authoring academic work with Finnish computer scientist and data mining expert Heikki Mannila.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce81de88190bd94d4ccee3e180c completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.