Triple

T5252793
Position Surface form Disambiguated ID Type / Status
Subject Battle of Lahti E118626 entity
Predicate commander P1061 FINISHED
Object Ernst Löfström E431781 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: Ernst Löfström | Statement: [Battle of Lahti, commander, Ernst Löfström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernst Löfström
Context triple: [Battle of Lahti, commander, Ernst Löfström]
  • A. Ernst Löfström chosen
    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.
  • B. Vilhelm Blomgren
    Vilhelm Blomgren is a Swedish actor best known internationally for his role in Ari Aster’s folk horror film "Midsommar."
  • C. Bertil Ohlsson
    Bertil Ohlsson is a film producer best known for his work on the acclaimed drama "What's Eating Gilbert Grape."
  • D. Östen Undén
    Östen Undén was a Swedish Social Democratic politician, legal scholar, and long-serving foreign minister who briefly served as acting Prime Minister of Sweden during the 1940s.
  • E. Johan Söderqvist
    Johan Söderqvist is a Swedish film composer known for his atmospheric and emotionally nuanced scores for Scandinavian and international cinema.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06bfa5e48190bc9313a39d95531e completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:50 p.m.