Triple

T7036614
Position Surface form Disambiguated ID Type / Status
Subject Humberto Delgado E163400 entity
Predicate givenName P17 FINISHED
Object Humberto
Humberto is a masculine given name of Spanish and Portuguese origin, commonly used in Iberian and Latin American countries.
 E636468 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: Humberto | Statement: [Humberto Delgado, givenName, Humberto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Humberto
Context triple: [Humberto Delgado, givenName, Humberto]
  • A. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Gustavo
    Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
  • C. Jorge
    Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
  • D. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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: Humberto
Triple: [Humberto Delgado, givenName, Humberto]
Generated description
Humberto is a masculine given name of Spanish and Portuguese origin, commonly used in Iberian and Latin American countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Humberto
Target entity description: Humberto is a masculine given name of Spanish and Portuguese origin, commonly used in Iberian and Latin American countries.
  • A. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Gustavo
    Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
  • C. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • D. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • E. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e221a7988190b6b69782a275abb7 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775a6e1a08190af7d121cb854118e completed March 28, 2026, 6:31 a.m.
NEDg Description generation batch_69c777e962448190993a019cb76781f8 completed March 28, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69c778ff705c8190909c03551292c5e9 completed March 28, 2026, 6:45 a.m.
Created at: March 27, 2026, 2:36 p.m.