Triple

T5080564
Position Surface form Disambiguated ID Type / Status
Subject Daniel Boaventura E114499 entity
Predicate familyName P18 FINISHED
Object Boaventura
Boaventura is a Portuguese-origin surname notably borne by Brazilian actor and singer Daniel Boaventura.
E493047 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: Boaventura | Statement: [Daniel Boaventura, familyName, Boaventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boaventura
Context triple: [Daniel Boaventura, familyName, Boaventura]
  • A. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • B. Sena of Tete
    Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
  • C. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • D. Lourenço
    Lourenço is a Portuguese-language surname commonly found in Lusophone countries such as Portugal, Brazil, and Angola.
  • E. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • 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: Boaventura
Triple: [Daniel Boaventura, familyName, Boaventura]
Generated description
Boaventura is a Portuguese-origin surname notably borne by Brazilian actor and singer Daniel Boaventura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boaventura
Target entity description: Boaventura is a Portuguese-origin surname notably borne by Brazilian actor and singer Daniel Boaventura.
  • A. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • B. Sena of Tete
    Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
  • C. Diogo
    Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
  • D. Lourenço
    Lourenço is a Portuguese-language surname commonly found in Lusophone countries such as Portugal, Brazil, and Angola.
  • E. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f86c988190aa026073ed435a45 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1303bc4819084e0270a8ff97aec completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb1dd68cc819080f5326972059995 completed March 21, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69beb26a849c819096161ed3b4d30ec6 completed March 21, 2026, 2:59 p.m.
Created at: March 20, 2026, 1:39 p.m.