Triple

T21046713
Position Surface form Disambiguated ID Type / Status
Subject Emanuel Sperner E518468 entity
Predicate familyName P18 FINISHED
Object Sperner 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: Sperner | Statement: [Emanuel Sperner, familyName, Sperner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sperner
Context triple: [Emanuel Sperner, familyName, Sperner]
  • A. Specker
    Specker is a surname most notably associated with Ernst Specker, a Swiss mathematician known for his contributions to logic and the foundations of quantum mechanics.
  • B. Sperner family chosen
    A Sperner family is a collection of subsets of a finite set in which no subset is contained within another, central in extremal set theory and combinatorics.
  • C. Spearman
    Spearman is a surname most notably associated with Charles Spearman, the English psychologist who pioneered factor analysis and proposed the theory of a general intelligence factor, g.
  • D. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • E. Szekeres
    Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf4d26481908b639996500a8319 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:34 p.m.