Triple

T852101
Position Surface form Disambiguated ID Type / Status
Subject Heinrich von Vietinghoff E18408 entity
Predicate familyName P18 FINISHED
Object von Vietinghoff E18408 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: von Vietinghoff | Statement: [Heinrich von Vietinghoff, familyName, von Vietinghoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Vietinghoff
Context triple: [Heinrich von Vietinghoff, familyName, von Vietinghoff]
  • A. Heinrich von Vietinghoff chosen
    Heinrich von Vietinghoff was a German Wehrmacht general who commanded major Axis forces in Italy during World War II, including serving as commander-in-chief of German troops in the Italian campaign.
  • B. Hans Lufft
    Hans Lufft was a 16th-century German printer best known for producing and widely disseminating early editions of Martin Luther’s German Bible.
  • C. Van Brand
    Van Brand is a film and television production company known for producing the comedy movie "Fist Fight."
  • D. Krafft
    Krafft is a variant spelling of the surname Kraft, which is of German origin and borne by various notable individuals.
  • E. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac22de288190913714d41e5a8e12 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
Created at: March 1, 2026, 7:39 p.m.