Triple

T258495
Position Surface form Disambiguated ID Type / Status
Subject Edward E5488 entity
Predicate hasVariant P455 FINISHED
Object Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
 E37162 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: Eduardo | Statement: [Edward, hasVariant, Eduardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eduardo
Context triple: [Edward, hasVariant, Eduardo]
  • A. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • B. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • 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. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • E. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-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: Eduardo
Triple: [Edward, hasVariant, Eduardo]
Generated description
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eduardo
Target entity description: Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • A. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • B. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • 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. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • E. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d0313b48190a3e8e1667a051610 completed March 1, 2026, 1:57 a.m.
NEDg Description generation batch_69a39d732c64819086a6e11df23e60ce completed March 1, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69a39de4511c8190bf668bc74ba57231 completed March 1, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.