Triple

T23185650
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Bessel E579586 entity
Predicate familyName P18 FINISHED
Object Bessel NE NERFINISHED

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: Bessel | Statement: [Friedrich Bessel, familyName, Bessel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bessel
Context triple: [Friedrich Bessel, familyName, Bessel]
  • A. Bessel chosen
    Bessel is a German surname most notably associated with the 19th-century astronomer and mathematician Friedrich Bessel, known for his work on Bessel functions and precise stellar measurements.
  • B. Bessel Gap
    Bessel Gap is a narrow, named gap within Saturn’s rings located inside the Cassini Division.
  • C. Lommel
    Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
  • D. Gouy
    Gouy is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis.
  • E. Bochner
    Bochner is a surname most notably associated with Salomon Bochner, a prominent mathematician known for his contributions to analysis and probability theory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f7230208190820acf52f537b3ff completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.