Triple

T3891834
Position Surface form Disambiguated ID Type / Status
Subject Luise Erhard E88078 entity
Predicate familyName P18 FINISHED
Object Erhard E318493 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: Erhard | Statement: [Luise Erhard, familyName, Erhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erhard
Context triple: [Luise Erhard, familyName, Erhard]
  • A. Erhard chosen
    Erhard is a masculine German given name historically borne by several notable figures, including military leaders and politicians.
  • B. Kurt Georg Kiesinger
    Kurt Georg Kiesinger was a West German politician who served as Chancellor from 1966 to 1969, leading a grand coalition government during a pivotal period of postwar reconstruction and Cold War tensions.
  • C. Herma Schuschnigg
    Herma Schuschnigg was the wife of Austrian Chancellor Kurt Schuschnigg, who led Austria in the years immediately preceding its annexation by Nazi Germany.
  • D. Vilsmaier
    Vilsmaier is a German surname most notably associated with film director Joseph Vilsmaier.
  • E. Franz Josef Strauß
    Franz Josef Strauß was a prominent and controversial German conservative politician who served as Minister-President of Bavaria and played a major role in postwar West German politics.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb237748190a4d41b76e8efd0ba completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c9484f08190b47eec550e521da5 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.