Triple

T19642482
Position Surface form Disambiguated ID Type / Status
Subject Karl Amadeus Hartmann E471574 entity
Predicate familyName P18 FINISHED
Object Hartmann NE NERFINISHED

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: Hartmann | Statement: [Karl Amadeus Hartmann, familyName, Hartmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartmann
Context triple: [Karl Amadeus Hartmann, familyName, Hartmann]
  • A. Hartmann chosen
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • B. Hartman
    Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
  • C. Habermann
    Habermann is a 2010 Czech-German war drama film directed by Juraj Herz that portrays the moral and ethnic tensions in a Sudeten village during and after World War II.
  • D. Klostermann
    Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
  • E. Henselmann
    Henselmann is the surname of Hermann Henselmann, a prominent German architect known for his influential role in postwar East German architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64122d9f48190961c4b460256f9e7 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.