Triple

T6758231
Position Surface form Disambiguated ID Type / Status
Subject Karl Mengele E154517 entity
Predicate child P120 FINISHED
Object Josef Mengele E23732 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: Josef Mengele | Statement: [Karl Mengele, child, Josef Mengele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josef Mengele
Context triple: [Karl Mengele, child, Josef Mengele]
  • A. Josef Mengele chosen
    Josef Mengele was a Nazi SS physician infamous for conducting brutal and deadly medical experiments on prisoners at Auschwitz during the Holocaust.
  • B. Karl Mengele
    Karl Mengele was a German industrialist and businessman, best known as the father of Nazi physician and war criminal Josef Mengele.
  • C. Rolf Mengele
    Rolf Mengele was the only son of Nazi doctor Josef Mengele, known for later becoming a lawyer and publicly confronting his father's legacy.
  • D. Martha Mengele
    Martha Mengele was the wife of Nazi physician Josef Mengele, known for his atrocities at Auschwitz during World War II.
  • E. Franz Stangl
    Franz Stangl was an Austrian SS officer and Nazi war criminal who served as commandant of the Treblinka and Sobibor extermination camps during the Holocaust.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f90b6c8190b4a17a23aa9ba0fb completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ad568c8190bc82f6149c22273a completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.