Triple

T2400741
Position Surface form Disambiguated ID Type / Status
Subject Peres E47760 entity
Predicate hasVariant P455 FINISHED
Object Pérez
Pérez is a common Spanish-language surname widely found in Spain and Latin America.
 E262802 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: Pérez | Statement: [Peres, hasVariant, Pérez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pérez
Context triple: [Peres, hasVariant, Pérez]
  • A. Juan Pérez
    Juan Pérez was an 18th-century Spanish naval officer and explorer notable for leading one of the first European voyages along the Pacific Northwest coast of North America.
  • B. López
    López is a common Spanish surname widely borne across Spain and Latin America.
  • C. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • D. Menéndez
    Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • E. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • 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: Pérez
Triple: [Peres, hasVariant, Pérez]
Generated description
Pérez is a common Spanish-language surname widely found in Spain and Latin America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pérez
Target entity description: Pérez is a common Spanish-language surname widely found in Spain and Latin America.
  • A. Juan Pérez
    Juan Pérez was an 18th-century Spanish naval officer and explorer notable for leading one of the first European voyages along the Pacific Northwest coast of North America.
  • B. López
    López is a common Spanish surname widely borne across Spain and Latin America.
  • C. Bustamante
    Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • D. Menéndez
    Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • E. Mariano
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8caf12c8190b1482b9bc7bf9606 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e319c481908537fe278f6f0a67 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b942b08190addc2885fbda0e41 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb557247c8190920ce3a5db388800 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.