Triple

T3219648
Position Surface form Disambiguated ID Type / Status
Subject Eva Braun E67478 entity
Predicate spouse P13 FINISHED
Object Adolf Hitler E804 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: Adolf Hitler | Statement: [Eva Braun, spouse, Adolf Hitler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adolf Hitler
Context triple: [Eva Braun, spouse, Adolf Hitler]
  • A. Adolf Hitler chosen
    Adolf Hitler was the dictator of Nazi Germany whose aggressive expansionism and genocidal policies led to World War II and the Holocaust.
  • B. Gustav Hitler
    Gustav Hitler was one of the older half-siblings of Adolf Hitler who died in childhood, born to his mother Klara before the future dictator’s birth.
  • C. Adolf
    Adolf is a masculine given name of German origin that was historically common in German-speaking countries but has declined in use due to its association with Adolf Hitler.
  • D. Otto Hitler
    Otto Hitler was one of the lesser-known children of Alois and Klara Hitler and a sibling of Adolf Hitler who died in infancy.
  • E. HeinrichHimmler
    Heinrich Himmler was a leading Nazi official who headed the SS and was one of the principal architects and overseers of 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ef2c88190ab89e3217438a2bf completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2624a770881908f0a9415b6f74ee0 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:08 p.m.