Triple

T10692008
Position Surface form Disambiguated ID Type / Status
Subject Carlos Fonseca E252033 entity
Predicate familyName P18 FINISHED
Object Fonseca
Fonseca is a common Spanish and Portuguese surname borne by various notable figures in politics, arts, and sports across the Iberian Peninsula and Latin America.
 E878423 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: Fonseca | Statement: [Carlos Fonseca, familyName, Fonseca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fonseca
Context triple: [Carlos Fonseca, familyName, Fonseca]
  • A. Sercial
    Sercial is a white grape variety best known for producing the driest style of Madeira wine, characterized by high acidity and delicate, nutty citrus flavors.
  • B. Fernandes
    Fernandes is a common Portuguese surname, often patronymic in origin and widely found in Portugal, Brazil, and other Lusophone communities.
  • C. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • D. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • E. Carvalho
    Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
  • 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: Fonseca
Triple: [Carlos Fonseca, familyName, Fonseca]
Generated description
Fonseca is a common Spanish and Portuguese surname borne by various notable figures in politics, arts, and sports across the Iberian Peninsula and Latin America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fonseca
Target entity description: Fonseca is a common Spanish and Portuguese surname borne by various notable figures in politics, arts, and sports across the Iberian Peninsula and Latin America.
  • A. Sercial
    Sercial is a white grape variety best known for producing the driest style of Madeira wine, characterized by high acidity and delicate, nutty citrus flavors.
  • B. Fernandes
    Fernandes is a common Portuguese surname, often patronymic in origin and widely found in Portugal, Brazil, and other Lusophone communities.
  • C. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • D. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • E. Carvalho
    Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd37cf408190a1912b3e0aa096a5 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988ad741c8190b9ae962e0c5bc272 completed April 10, 2026, 11:33 p.m.
NEDg Description generation batch_69d98aecef388190a270e92c93ccca05 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c04e8c08190b4d7bc63357c69f4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.