Triple

T2837890
Position Surface form Disambiguated ID Type / Status
Subject Reich Youth Leader E62393 entity
Predicate lastHolder P3710 FINISHED
Object Artur Axmann E64212 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: Artur Axmann | Statement: [Reich Youth Leader, lastHolder, Artur Axmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artur Axmann
Context triple: [Reich Youth Leader, lastHolder, Artur Axmann]
  • A. Artur Axmann chosen
    Artur Axmann was a German Nazi official who led the Hitler Youth during the final years of the Third Reich and remained loyal to Adolf Hitler until the regime’s collapse.
  • B. Jan Kubiš
    Jan Kubiš was a Czechoslovak paratrooper and resistance fighter during World War II, best known for his role in the assassination of high-ranking Nazi official Reinhard Heydrich.
  • C. Marek Chodor
    Marek Chodor is an architect known for designing the Bełżec memorial and museum commemorating victims of the Holocaust in Poland.
  • D. Oldřich Černík
    Oldřich Černík was a Czechoslovak communist politician who served as prime minister and became one of the prominent reformist leaders during the Prague Spring of 1968.
  • E. Christian Scholz
    Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeede0488190a9782f55b57559ee completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7705108190a986d3def0c08f7b completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.