Triple

T624366
Position Surface form Disambiguated ID Type / Status
Subject Bruno Mussolini E14583 entity
Predicate givenName P17 FINISHED
Object Bruno
Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
E88243 NE FINISHED

How this triple was built (4 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 Mussolini, givenName, Bruno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno
Context triple: [Bruno Mussolini, givenName, Bruno]
  • A. Carlo
    Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
  • B. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • C. 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.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Boris
    Boris is the given name of Boris Johnson, the former Prime Minister of the United Kingdom and prominent British Conservative politician.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bruno
Triple: [Bruno Mussolini, givenName, Bruno]
Generated description
Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bruno
Target entity description: Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • A. Carlo
    Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
  • B. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • C. 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.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Boris
    Boris is the given name of Boris Johnson, the former Prime Minister of the United Kingdom and prominent British Conservative politician.
  • F. None of above. chosen

Provenance (5 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e43002c81908e0c7dab29b75978 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a4ba2d88190969e7c777a1bbfd7 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64e773be08190abd15ff6ad35f37b completed March 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69a64edbfbe08190b49d26d572e3a484 completed March 3, 2026, 3 a.m.
Created at: March 1, 2026, 7:35 p.m.