Triple

T15142025
Position Surface form Disambiguated ID Type / Status
Subject Bruno Paul E361707 entity
Predicate name P16 FINISHED
Object Bruno Paul E361707 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 Paul | Statement: [Bruno Paul, name, Bruno Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Paul
Context triple: [Bruno Paul, name, Bruno Paul]
  • A. Bruno Paul chosen
    Bruno Paul was a prominent German architect, designer, and educator known for his influential role in early 20th-century modern design and applied arts.
  • 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 Wick
    Bruno Wick was an actor who appeared in the 1945 espionage film noir "The House on 92nd Street."
  • D. Bruno Pittermann
    Bruno Pittermann was an Austrian Social Democratic politician who served as Vice-Chancellor and was a leading figure in postwar Austrian politics.
  • E. Bruno Snell
    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.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c5c4248190b57234e3ccf2831b completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfee0ae48190a36523d3eeae9740 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.