Triple

T11728188
Position Surface form Disambiguated ID Type / Status
Subject Lennart Carleson E278829 entity
Predicate hasGivenName 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 Carleson, hasGivenName, Lennart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lennart
Context triple: [Lennart Carleson, hasGivenName, 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. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d80ef881908cab956787ab07fd completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83e9efdc8190830f9b9cb5362b1c completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.