Triple

T12093674
Position Surface form Disambiguated ID Type / Status
Subject Bruno Beger E288012 entity
Predicate name P16 FINISHED
Object Bruno Beger E288012 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 Beger | Statement: [Bruno Beger, name, Bruno Beger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Beger
Context triple: [Bruno Beger, name, Bruno Beger]
  • A. Bruno Beger chosen
    Bruno Beger was a German SS anthropologist and war criminal involved in Nazi racial research and atrocities during World War II.
  • B. Bruno Bauch
    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.
  • 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 Bischofberger
    Bruno Bischofberger is a prominent Swiss art dealer and gallerist known for championing contemporary and Pop Art, including the work of artists like Andy Warhol and Jean-Michel Basquiat.
  • E. Bruno Pittermann
    Bruno Pittermann was an Austrian Social Democratic politician who served as Vice-Chancellor and was a leading figure in postwar Austrian politics.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e70dc788190850278a40a5a62e4 completed May 9, 2026, 12:23 a.m.
Created at: April 8, 2026, 9:48 p.m.