Triple

T9077057
Position Surface form Disambiguated ID Type / Status
Subject Karl Arnold E217513 entity
Predicate name P16 FINISHED
Object Karl Arnold E217513 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: Karl Arnold | Statement: [Karl Arnold, name, Karl Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Arnold
Context triple: [Karl Arnold, name, Karl Arnold]
  • A. Karl Arnold chosen
    Karl Arnold was a prominent German politician who served as Minister President of North Rhine-Westphalia and played a key role in post-World War II reconstruction and democratic development.
  • B. Karl Krueger
    Karl Krueger was an American conductor known for his work with major orchestras and for making early high-fidelity orchestral recordings.
  • C. Karl Weisenberger
    Karl Weisenberger was a German general in the Wehrmacht during World War II who held several high-level command positions on the Eastern and Western Fronts.
  • D. Karl Olive
    Karl Olive is a French politician and former sports journalist who has served as a mayor and later became a member of the National Assembly.
  • E. Karl Hubbuch
    Karl Hubbuch was a German painter and graphic artist associated with the New Objectivity movement, known for his socially critical, realist depictions of Weimar-era urban life.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c6a67c81908d143aa25e1e803e completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d178be71188190bb9bdb719dd4d12d completed April 4, 2026, 8:46 p.m.
Created at: March 30, 2026, 7:12 p.m.