Triple

T12412989
Position Surface form Disambiguated ID Type / Status
Subject Elfriede Geiringer E296564 entity
Predicate familyName P18 FINISHED
Object Geiringer E784071 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: Geiringer | Statement: [Elfriede Geiringer, familyName, Geiringer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geiringer
Context triple: [Elfriede Geiringer, familyName, Geiringer]
  • A. Geiringer chosen
    Geiringer is a surname most notably associated with Hilda Geiringer, an Austrian-American mathematician known for her contributions to applied mathematics and probability theory.
  • B. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
  • C. Khinchin
    Khinchin is a Russian surname most notably associated with Aleksandr Khinchin, a prominent mathematician known for his contributions to probability theory and number theory.
  • D. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • E. Bickel
    Bickel is the family name of the American actor Fredric March, a prominent star of classic Hollywood cinema.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6b0f9c8190813b6fe3f97570ac completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.