Triple

T17280170
Position Surface form Disambiguated ID Type / Status
Subject Brun E419503 entity
Predicate isVariantOf P455 FINISHED
Object Bruno NE NERFINISHED

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: [Brun, isVariantOf, Bruno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno
Context triple: [Brun, isVariantOf, Bruno]
  • A. Bruno chosen
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • B. Brüno
    Brüno is a satirical mockumentary comedy film featuring Sacha Baron Cohen as an outrageous Austrian fashion reporter who exposes cultural absurdities through provocative pranks and interviews.
  • C. Carlo
    Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
  • D. Sandro
    Sandro is a common Italian given name, typically used as a diminutive or short form of Alessandro.
  • E. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43329904c8190a4cbc856b9b94ff8 completed April 19, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:40 a.m.