Triple

T733917
Position Surface form Disambiguated ID Type / Status
Subject Otto Hofmann E14889 entity
Predicate familyName P18 FINISHED
Object Hofmann E85402 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: Hofmann | Statement: [Otto Hofmann, familyName, Hofmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hofmann
Context triple: [Otto Hofmann, familyName, Hofmann]
  • A. Hoffman chosen
    Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
  • B. Otto Hofmann
    Otto Hofmann was a high-ranking SS official and head of the SS Race and Settlement Main Office who played a role in implementing Nazi racial policies during the Holocaust.
  • C. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • D. Krafft
    Krafft is a variant spelling of the surname Kraft, which is of German origin and borne by various notable individuals.
  • E. Heinrich von Vietinghoff
    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.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d6cc58819082018cdfa14b37df completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5f0de4819083457c86e5e93ba0 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.