Triple

T470571
Position Surface form Disambiguated ID Type / Status
Subject Francisco Goya E8545 entity
Predicate givenName P17 FINISHED
Object Francisco
Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
 E62786 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: Francisco | Statement: [Francisco Goya, givenName, Francisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Francisco
Context triple: [Francisco Goya, givenName, Francisco]
  • A. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • B. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • C. Carlos
    Carlos is a common Spanish given name widely used across Spanish-speaking countries and communities.
  • D. Cortes of Spain
    The Cortes of Spain is the historical name for Spain’s national legislative assembly, which served as the kingdom’s representative parliament responsible for enacting laws and approving major state decisions.
  • E. Francisco Javier de Reina
    Francisco Javier de Reina was a Chilean political figure who participated in the country’s early independence movement as a member of its First Government Junta in 1810.
  • 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: Francisco
Triple: [Francisco Goya, givenName, Francisco]
Generated description
Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Francisco
Target entity description: Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • A. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • B. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • C. Carlos
    Carlos is a common Spanish given name widely used across Spanish-speaking countries and communities.
  • D. Cortes of Spain
    The Cortes of Spain is the historical name for Spain’s national legislative assembly, which served as the kingdom’s representative parliament responsible for enacting laws and approving major state decisions.
  • E. Francisco Javier de Reina
    Francisco Javier de Reina was a Chilean political figure who participated in the country’s early independence movement as a member of its First Government Junta in 1810.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efef8b788190857ebf66df562d59 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48a7675a08190985e76c3d3bbd495 completed March 1, 2026, 6:50 p.m.
NEDg Description generation batch_69a48aedd40081908c2cfa99241ed1b6 completed March 1, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_69a48b45acbc8190b41b791584f80275 completed March 1, 2026, 6:53 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.