Triple

T18807285
Position Surface form Disambiguated ID Type / Status
Subject Klaus Barbie E459906 entity
Predicate alsoKnownAs P39 FINISHED
Object Nikolaus Karl Barbie 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: Nikolaus Karl Barbie | Statement: [Klaus Barbie, alsoKnownAs, Nikolaus Karl Barbie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaus Karl Barbie
Context triple: [Klaus Barbie, alsoKnownAs, Nikolaus Karl Barbie]
  • A. Nikolaus Barbie chosen
    Nikolaus "Klaus" Barbie was a notorious Nazi SS officer and Gestapo chief in Lyon, France, responsible for extensive war crimes and later convicted as the "Butcher of Lyon."
  • B. Wolf Bauer
    Wolf Bauer was a pioneering mountaineer and outdoor educator known for his influential role in developing climbing and wilderness sports in the Pacific Northwest.
  • C. Hans Prinz
    Hans Prinz is an individual notable enough to be recognized as a prominent bearer of the surname Prinz.
  • D. Willi Graf
    Willi Graf was a German medical student and devout Catholic who became a key member of the White Rose resistance group, opposing the Nazi regime and ultimately being executed for his involvement.
  • E. Arthur Franz
    Arthur Franz was an American film and television actor active in the mid-20th century, known for his roles in science fiction and war movies.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d8ab9c819097834eac798ce810 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.