Triple

T16104661
Position Surface form Disambiguated ID Type / Status
Subject Lennart Nilsson E390708 entity
Predicate givenName P17 FINISHED
Object Lennart E266135 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: Lennart | Statement: [Lennart Nilsson, givenName, Lennart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lennart
Context triple: [Lennart Nilsson, givenName, Lennart]
  • A. Lennart chosen
    Lennart is a masculine given name, primarily used in Germanic and Scandinavian countries, that is a cognate of the name Leonard.
  • B. Lennart Duse
    Lennart Duse was a person significant enough in polar or geographic exploration or research to have Duse Bay named in his honor.
  • C. Lennart Johansson
    Lennart Johansson was a Swedish football administrator best known for serving as UEFA president from 1990 to 2007 and overseeing the creation of the UEFA Champions League.
  • D. Felix Hamrin
    Felix Hamrin was a Swedish liberal politician who briefly served as Prime Minister of Sweden during the early 1930s.
  • E. Nils Ehrenskiöld
    Nils Ehrenskiöld was a Swedish naval officer best known for his role as a commander during the Great Northern War, particularly in the Battle of Gangut.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6b91a48190a04648d4cad2c4b1 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba1e4c08190a90f5102e0038056 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.