Triple

T23392913
Position Surface form Disambiguated ID Type / Status
Subject Hellmuth E594066 entity
Predicate hasVariant P455 FINISHED
Object Hellmut 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: Hellmut | Statement: [Hellmuth, hasVariant, Hellmut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellmut
Context triple: [Hellmuth, hasVariant, Hellmut]
  • A. Hellmut chosen
    Hellmut is a masculine given name of German origin, used as a variant spelling of Helmut.
  • B. Burkhard
    Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
  • C. Heinz Drache
    Heinz Drache was a German actor best known for his leading roles in 1960s crime and mystery films, particularly the Edgar Wallace adaptations.
  • D. Totenkopf
    Totenkopf is a prominent volcanic hill in the Kaiserstuhl range of southwest Germany, known for its vineyards and scenic views over the Upper Rhine Valley.
  • E. Lindorf
    Lindorf is a sinister, manipulative antagonist in Offenbach’s opera "The Tales of Hoffmann," embodying one of the forces that thwart the poet Hoffmann’s romantic pursuits.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49df4308190ab4ab31310af81ed completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:36 p.m.