Triple

T6311355
Position Surface form Disambiguated ID Type / Status
Subject Fernanda Gomes E141510 entity
Predicate familyName P18 FINISHED
Object Gomes
Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
 E584155 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: Gomes | Statement: [Fernanda Gomes, familyName, Gomes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gomes
Context triple: [Fernanda Gomes, familyName, Gomes]
  • A. Jean Gomes
    Jean Gomes is a leadership and performance expert known for co-authoring influential business books on productivity, well-being, and organizational change.
  • B. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • C. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • D. Fernandes
    Fernandes is a common Portuguese surname, often patronymic in origin and widely found in Portugal, Brazil, and other Lusophone communities.
  • E. Gilberto
    Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • 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: Gomes
Triple: [Fernanda Gomes, familyName, Gomes]
Generated description
Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gomes
Target entity description: Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
  • A. Jean Gomes
    Jean Gomes is a leadership and performance expert known for co-authoring influential business books on productivity, well-being, and organizational change.
  • B. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • C. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • D. Fernandes
    Fernandes is a common Portuguese surname, often patronymic in origin and widely found in Portugal, Brazil, and other Lusophone communities.
  • E. Gilberto
    Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0649d1e048190a3fc7fbce9d2ee57 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e461e2ec8190af7198a03edb1ff7 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5e66e8b3c8190bd4cd960b91de473 completed March 27, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_69c5e6e40c588190898ad952b71e5b11 completed March 27, 2026, 2:09 a.m.
Created at: March 22, 2026, 4:28 p.m.