Triple

T21295279
Position Surface form Disambiguated ID Type / Status
Subject Klemens Maria Hofbauer E524903 entity
Predicate familyName P18 FINISHED
Object Hofbauer 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: Hofbauer | Statement: [Klemens Maria Hofbauer, familyName, Hofbauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hofbauer
Context triple: [Klemens Maria Hofbauer, familyName, Hofbauer]
  • A. Hofbauer
    Hofbauer is an Austrian premium chocolate and confectionery brand owned by Lindt & Sprüngli, known for its traditional pralines and boxed chocolates.
  • B. Hofbauer chosen
    Hofbauer is a German-language surname most notably associated with Clement Mary Hofbauer, a prominent Redemptorist priest and patron saint of Vienna.
  • C. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • D. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • E. Hofbieber
    Hofbieber is a municipality in the state of Hesse in central Germany, known for its rural setting in the Rhön Mountains region.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73857784881908c3b8418a4c00c1e completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.