Triple

T6613971
Position Surface form Disambiguated ID Type / Status
Subject Pepe E149302 entity
Predicate familyName P18 FINISHED
Object Ferreira
Ferreira is a common Portuguese and Spanish surname borne by numerous notable individuals across sports, arts, and public life.
 E606363 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: Ferreira | Statement: [Pepe, familyName, Ferreira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ferreira
Context triple: [Pepe, familyName, Ferreira]
  • A. Fernandes
    Fernandes is a common Portuguese surname, often patronymic in origin and widely found in Portugal, Brazil, and other Lusophone communities.
  • B. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • C. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • D. Machado
    Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
  • E. Bernardes
    Bernardes is a Portuguese-language surname commonly found in Brazil and other Lusophone 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: Ferreira
Triple: [Pepe, familyName, Ferreira]
Generated description
Ferreira is a common Portuguese and Spanish surname borne by numerous notable individuals across sports, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ferreira
Target entity description: Ferreira is a common Portuguese and Spanish surname borne by numerous notable individuals across sports, arts, and public life.
  • A. Fernandes
    Fernandes is a common Portuguese surname, often patronymic in origin and widely found in Portugal, Brazil, and other Lusophone communities.
  • B. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • C. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • D. Machado
    Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
  • E. Bernardes
    Bernardes is a Portuguese-language surname commonly found in Brazil and other Lusophone 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3890408190a0edf2f813b93196 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e443df8c8190b52ecac5a7e9fb09 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4c724dc819080f21cf0d1421500 completed March 27, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6e583b1388190a57dce649567ef98 completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:57 p.m.