Triple

T5509487
Position Surface form Disambiguated ID Type / Status
Subject Josef Mengele E144526 entity
Predicate spouse P13 FINISHED
Object Irene Schönbein E144526 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: Irene Schönbein | Statement: [Josef Mengele, spouse, Irene Schönbein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Schönbein
Context triple: [Josef Mengele, spouse, Irene Schönbein]
  • A. Irene Schönbein chosen
    Irene Schönbein was the wife of Nazi physician and Auschwitz camp doctor Josef Mengele.
  • B. Albertina Rasch
    Albertina Rasch was an influential early 20th-century choreographer and dance director known for her work on Broadway and in Hollywood films.
  • C. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • D. Karla von Mohl
    Karla von Mohl was the wife of renowned German physician and physicist Hermann von Helmholtz and a member of the distinguished von Mohl family.
  • E. Elisabeth Binzenstock
    Elisabeth Binzenstock was the wife of the renowned German Renaissance painter Hans Holbein the Younger.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4ba90c8190ad22e5de84c545f9 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c4b6c0819086c7c64911c7106e completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:33 p.m.