Triple

T7070499
Position Surface form Disambiguated ID Type / Status
Subject Rolf Mengele E164678 entity
Predicate familyName P18 FINISHED
Object Mengele E164678 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: Mengele | Statement: [Rolf Mengele, familyName, Mengele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mengele
Context triple: [Rolf Mengele, familyName, Mengele]
  • A. Josef Mengele
    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 chosen
    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. Odilo
    Odilo was an influential 10th–11th century Benedictine monk and fifth abbot of Cluny, known for his role in monastic reform and for promoting the commemoration of All Souls’ Day.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4c862f481908d1faf6ed57774f1 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945a98108190b982ad41222333e4 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:39 p.m.