Triple

T2044576
Position Surface form Disambiguated ID Type / Status
Subject Luciana Barroso E45420 entity
Predicate familyName P18 FINISHED
Object Barroso
Barroso is a Spanish-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
E227736 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: Barroso | Statement: [Luciana Barroso, familyName, Barroso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barroso
Context triple: [Luciana Barroso, familyName, Barroso]
  • A. Paccha Duchicela
    Paccha Duchicela was an Inca noblewoman and queen consort, best known as the mother of the last Inca emperor, Atahualpa.
  • B. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • C. Carlos Tavares
    Carlos Tavares is a Portuguese automotive executive known for leading major car manufacturers and orchestrating large-scale industry mergers and turnarounds.
  • D. Roger Borsa
    Roger Borsa was an 11th-century Norman duke who ruled Apulia and Calabria in southern Italy, succeeding his father Robert Guiscard.
  • E. André Bettencourt
    André Bettencourt was a French politician and businessman closely associated with the L'Oréal empire through his marriage to heiress Liliane Bettencourt.
  • 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: Barroso
Triple: [Luciana Barroso, familyName, Barroso]
Generated description
Barroso is a Spanish-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barroso
Target entity description: Barroso is a Spanish-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • A. Paccha Duchicela
    Paccha Duchicela was an Inca noblewoman and queen consort, best known as the mother of the last Inca emperor, Atahualpa.
  • B. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • C. Carlos Tavares
    Carlos Tavares is a Portuguese automotive executive known for leading major car manufacturers and orchestrating large-scale industry mergers and turnarounds.
  • D. Roger Borsa
    Roger Borsa was an 11th-century Norman duke who ruled Apulia and Calabria in southern Italy, succeeding his father Robert Guiscard.
  • E. André Bettencourt
    André Bettencourt was a French politician and businessman closely associated with the L'Oréal empire through his marriage to heiress Liliane Bettencourt.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb97153b08190b91d82f4117982be completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffe98248190b6a4428c6c094d35 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae205137448190b9a1f035f9f27828 completed March 9, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae20d2e2c08190a708053329587c5d completed March 9, 2026, 1:22 a.m.
Created at: March 4, 2026, 7:39 p.m.