Triple

T2151776
Position Surface form Disambiguated ID Type / Status
Subject Bruno Buchberger E47796 entity
Predicate givenName P17 FINISHED
Object Bruno E88243 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 | Statement: [Bruno Buchberger, givenName, Bruno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno
Context triple: [Bruno Buchberger, givenName, Bruno]
  • A. Bruno chosen
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • B. Carlo
    Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
  • C. Sandro
    Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
  • D. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • E. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58dedd3c8190a876819616903392 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.