Triple

T7182440
Position Surface form Disambiguated ID Type / Status
Subject Bruno Bauch E167481 entity
Predicate name P16 FINISHED
Object Bruno Bauch E167481 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: Bruno Bauch | Statement: [Bruno Bauch, name, Bruno Bauch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Bauch
Context triple: [Bruno Bauch, name, Bruno Bauch]
  • A. Bruno Bauch chosen
    Bruno Bauch was a German neo-Kantian philosopher associated with the Baden school, known for his work on value theory and the philosophy of culture.
  • B. Bruno Beger
    Bruno Beger was a German SS anthropologist and war criminal involved in Nazi racial research and atrocities during World War II.
  • C. Bruno Loerzer
    Bruno Loerzer was a prominent German First World War fighter ace who later became a high-ranking Luftwaffe general during the Nazi era.
  • D. Bruno Bräuer
    Bruno Bräuer was a German Luftwaffe general during World War II, known for commanding airborne and occupation forces in the Mediterranean and on Crete.
  • E. Bruno Paul
    Bruno Paul was a prominent German architect, designer, and educator known for his influential role in early 20th-century modern design and applied arts.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bd52648190a22412300254e5d4 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8682696a48190aec021bd00c6f633 completed March 28, 2026, 11:45 p.m.
Created at: March 27, 2026, 2:49 p.m.