Triple

T17590520
Position Surface form Disambiguated ID Type / Status
Subject Battle of Debrecen E428433 entity
Predicate commander P1061 FINISHED
Object Hermann Balck NE NERFINISHED

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: Hermann Balck | Statement: [Battle of Debrecen, commander, Hermann Balck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann Balck
Context triple: [Battle of Debrecen, commander, Hermann Balck]
  • A. Hermann Balck chosen
    Hermann Balck was a highly regarded German panzer general of World War II, noted for his tactical skill in mobile warfare on both the Eastern and Western Fronts.
  • B. Siegfried Palm
    Siegfried Palm was a renowned German cellist celebrated for his pioneering advocacy and performances of contemporary classical music.
  • C. Wilhelm Brückner
    Wilhelm Brückner was a prominent early Nazi official who served as Adolf Hitler’s chief adjutant and held leading roles in the party’s paramilitary formations.
  • D. Hans Kopfermann
    Hans Kopfermann was a German experimental physicist known for his pioneering work in nuclear physics and atomic spectroscopy, particularly in the study of nuclear spins and moments.
  • E. Fritz von Uhde
    Fritz von Uhde was a German painter known for combining Impressionist techniques with religious and genre scenes set in contemporary everyday settings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e6e3888190b73a5b6d7e8c0a55 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.