Triple

T13485676
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Erhard E318493 entity
Predicate givenName P17 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: [Ludwig Erhard, givenName, Erhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erhard
Context triple: [Ludwig Erhard, givenName, Erhard]
  • A. Erhard chosen
    Erhard is a masculine German given name historically borne by several notable figures, including military leaders and politicians.
  • B. Wolfgang Clement
    Wolfgang Clement was a German politician who served as Minister-President of North Rhine-Westphalia and later as Federal Minister of Economics and Labour.
  • C. 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.
  • D. 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.
  • E. Vilsmaier
    Vilsmaier is a German surname most notably associated with film director Joseph Vilsmaier.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463715dc8190a70a17b3ea661006 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.