Triple

T4463278
Position Surface form Disambiguated ID Type / Status
Subject Erhard Milch E98308 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: [Erhard Milch, givenName, Erhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erhard
Context triple: [Erhard Milch, givenName, 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567913788190ac4f28fbe63a4fa9 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6284b90708190b557b66bd7533f4e completed March 15, 2026, 3:32 a.m.
Created at: March 12, 2026, 11:34 p.m.