Triple

T19787313
Position Surface form Disambiguated ID Type / Status
Subject Franz Walter Stahlecker E475305 entity
Predicate givenName P17 FINISHED
Object Franz Walter 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: Franz Walter | Statement: [Franz Walter Stahlecker, givenName, Franz Walter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franz Walter
Context triple: [Franz Walter Stahlecker, givenName, Franz Walter]
  • A. Franz Walter Stahlecker chosen
    Franz Walter Stahlecker was a high-ranking Nazi SS officer who led Einsatzgruppe A, overseeing mass murders of Jews and other civilians in Eastern Europe during World War II.
  • B. Otto Erich Hartleben
    Otto Erich Hartleben was a German dramatist, poet, and translator associated with literary modernism and known for his influential role in fin-de-siècle German literature.
  • C. Hans Luder
    Hans Luder was a German miner and smelter master best known as the father of the Protestant Reformer Martin Luther.
  • D. Oscar Werwath
    Oscar Werwath was a German-born American engineer and educator best known as the founder and first leader of the Milwaukee School of Engineering.
  • E. Lutz Bornmann
    Lutz Bornmann is a German scientometrics and bibliometrics researcher known for his influential work on research evaluation, citation analysis, and science indicators.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389145881909385f36f56cd250b completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.