Triple

T16914212
Position Surface form Disambiguated ID Type / Status
Subject Yrjö Lindegren E410279 entity
Predicate name P16 FINISHED
Object Yrjö Lindegren E410279 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: Yrjö Lindegren | Statement: [Yrjö Lindegren, name, Yrjö Lindegren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yrjö Lindegren
Context triple: [Yrjö Lindegren, name, Yrjö Lindegren]
  • A. Yrjö Lindegren chosen
    Yrjö Lindegren was a Finnish architect best known for his modernist designs, including Helsinki’s Olympic Stadium, and for winning a gold medal in the art competitions of the 1936 Olympic Games.
  • B. Vilhelm Blomgren
    Vilhelm Blomgren is a Swedish actor best known internationally for his role in Ari Aster’s folk horror film "Midsommar."
  • C. Ernst Löfström
    Ernst Löfström was a Finnish military officer best known for his leadership role during the Finnish Civil War, particularly in major engagements such as the Battle of Tampere.
  • D. Gunnar Asplund
    Gunnar Asplund was a prominent Swedish architect renowned for his influential role in early 20th-century architecture, particularly in shaping the transition from Nordic Classicism to modernism.
  • E. Torgny Lindgren
    Torgny Lindgren was a renowned Swedish author and member of the Swedish Academy, celebrated for his novels and short stories often set in rural Västerbotten.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7be679c8190b9d0b0b9cfe185d3 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.