Triple

T4831536
Position Surface form Disambiguated ID Type / Status
Subject Kalle Lasn E107956 entity
Predicate name P16 FINISHED
Object Kalle Lasn E107956 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: Kalle Lasn | Statement: [Kalle Lasn, name, Kalle Lasn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalle Lasn
Context triple: [Kalle Lasn, name, Kalle Lasn]
  • A. Kalle Lasn chosen
    Kalle Lasn is an Estonian-Canadian activist, writer, and media theorist best known for his culture-jamming work and for co-founding the anti-consumerist magazine Adbusters.
  • B. Carl Schlyter
    Carl Schlyter is a Swedish Green Party politician and former Member of the European Parliament known for his work on environmental and consumer protection issues.
  • C. Klas Östergren
    Klas Östergren is a prominent Swedish novelist, screenwriter, and translator known for works such as "Gentlemen" and his contributions to contemporary Scandinavian literature.
  • D. Carl Lindström
    Carl Lindström was a pioneering early 20th-century German-Swedish record industry entrepreneur whose company became a major force in European recorded music.
  • E. Kjell Ödeen
    Kjell Ödeen was a Swedish architect best known for designing major public buildings such as the Scandinavium arena in Gothenburg.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc924e08190b03a7541c629aff9 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd4224c8190be7568bb611f81a3 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.