Triple

T5978109
Position Surface form Disambiguated ID Type / Status
Subject Sérgio Bernardes E133048 entity
Predicate givenName P17 FINISHED
Object Sérgio
Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
E558954 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: Sérgio | Statement: [Sérgio Bernardes, givenName, Sérgio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sérgio
Context triple: [Sérgio Bernardes, givenName, Sérgio]
  • A. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • B. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • C. Luiz
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • D. Sérgio Rodrigues
    Sérgio Rodrigues was a renowned Brazilian furniture designer and architect, celebrated for pioneering modern Brazilian design with iconic pieces that combined traditional materials like jacaranda and leather with contemporary forms.
  • E. Luís Goes
    Luís Goes was a prominent Portuguese singer renowned for his interpretations of Coimbra fado, contributing significantly to the genre’s popularity and refinement in the 20th century.
  • 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: Sérgio
Triple: [Sérgio Bernardes, givenName, Sérgio]
Generated description
Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sérgio
Target entity description: Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • A. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • B. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • C. Luiz
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • D. Sérgio Rodrigues
    Sérgio Rodrigues was a renowned Brazilian furniture designer and architect, celebrated for pioneering modern Brazilian design with iconic pieces that combined traditional materials like jacaranda and leather with contemporary forms.
  • E. Luís Goes
    Luís Goes was a prominent Portuguese singer renowned for his interpretations of Coimbra fado, contributing significantly to the genre’s popularity and refinement in the 20th century.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3e686c81908910c0881ac1624d completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e4184a708190a9e4fe8453463a4b completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f9030f088190a6c3df60551cb65e completed March 23, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0f9ba4ca88190b783545fbf34b69b completed March 23, 2026, 8:28 a.m.
Created at: March 22, 2026, 4:04 p.m.