Triple

T11728189
Position Surface form Disambiguated ID Type / Status
Subject Lennart Carleson E278829 entity
Predicate hasFamilyName P18 FINISHED
Object Carleson E278829 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: Carleson | Statement: [Lennart Carleson, hasFamilyName, Carleson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carleson
Context triple: [Lennart Carleson, hasFamilyName, Carleson]
  • A. Carleson chosen
    Carleson is a surname of likely Scandinavian origin, most notably associated with Swedish mathematician Lennart Carleson, renowned for his fundamental contributions to harmonic analysis.
  • B. Bochner
    Bochner is a surname most notably associated with Salomon Bochner, a prominent mathematician known for his contributions to analysis and probability theory.
  • C. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • D. Koopmans
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • E. Szegő
    Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
  • 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.