Triple

T7767491
Position Surface form Disambiguated ID Type / Status
Subject Bruno Snell E178985 entity
Predicate name P16 FINISHED
Object Bruno Snell E178985 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 Snell | Statement: [Bruno Snell, name, Bruno Snell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Snell
Context triple: [Bruno Snell, name, Bruno Snell]
  • A. Bruno Snell chosen
    Bruno Snell was a German classical philologist best known for his influential work on ancient Greek literature, thought, and the origins of European intellectual history.
  • B. Roland Snellings
    Roland Snellings, better known as Askia Touré, is an influential African-American poet, essayist, and key figure in the Black Arts Movement.
  • C. 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.
  • D. Bruno Beger
    Bruno Beger was a German SS anthropologist and war criminal involved in Nazi racial research and atrocities during World War II.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70435b7f88190a5e68e6ae701c58f completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d0f1988190b4df650bebb61fd3 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:11 p.m.