Triple

T7426117
Position Surface form Disambiguated ID Type / Status
Subject Dietrich Mateschitz E171372 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 Mateschitz, givenName, Dietrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dietrich
Context triple: [Dietrich Mateschitz, 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f303eb988190ba9df7946fce1c86 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f09787c819090b8be24070a7105 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.