Triple

T39021
Position Surface form Disambiguated ID Type / Status
Subject William E772 entity
Predicate hasVariant P455 FINISHED
Object Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
E11442 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: Guillermo | Statement: [William, hasVariant, Guillermo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillermo
Context triple: [William, hasVariant, Guillermo]
  • A. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • B. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • C. Felipe de Neve
    Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • D. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • E. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • 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: Guillermo
Triple: [William, hasVariant, Guillermo]
Generated description
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guillermo
Target entity description: Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • A. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • B. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • C. Felipe de Neve
    Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • D. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • E. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27bfdda548190ae43a219cb555ad0 completed Feb. 28, 2026, 5:24 a.m.
NEDg Description generation batch_69a27dc7ee4c8190802b9c9a3c2c1270 completed Feb. 28, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_69a27e2dcde48190a8ff74be207f9f07 completed Feb. 28, 2026, 5:33 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.