Triple

T5374084
Position Surface form Disambiguated ID Type / Status
Subject Dietrich Fischer-Dieskau E108918 entity
Predicate givenName P17 FINISHED
Object Dietrich E195068 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: Dietrich | Statement: [Dietrich Fischer-Dieskau, givenName, Dietrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dietrich
Context triple: [Dietrich Fischer-Dieskau, givenName, Dietrich]
  • A. Dietrich chosen
    Dietrich is a masculine German given name historically borne by notable figures such as theologian and anti-Nazi dissident Dietrich Bonhoeffer.
  • B. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • C. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • D. Erich
    Erich is a masculine given name of German origin, commonly used in German-speaking countries and beyond.
  • E. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86ad820081908763765dcbc99cbf completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf293ba6a08190bcbecf465e4e5881 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.