Triple

T2723359
Position Surface form Disambiguated ID Type / Status
Subject La Maja Vestida E60131 entity
Predicate possibleModel P41880 FINISHED
Object María Teresa de Borbón y Vallabriga
María Teresa de Borbón y Vallabriga was an 18th-century Spanish aristocrat and noblewoman associated with the court of Charles III and Charles IV.
E292296 NE FINISHED

How this triple was built (5 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: María Teresa de Borbón y Vallabriga | Statement: [La Maja Vestida, possibleModel, María Teresa de Borbón y Vallabriga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: María Teresa de Borbón y Vallabriga
Context triple: [La Maja Vestida, possibleModel, María Teresa de Borbón y Vallabriga]
  • A. Maria Teresa Rafaela of Spain
    Maria Teresa Rafaela of Spain was an 18th-century Spanish infanta who became Dauphine of France through her marriage to Louis, Dauphin of France, son of King Louis XV.
  • B. Queen Sofía of Spain
    Queen Sofía of Spain is the former Queen consort of Spain, a Greek-born royal who played a prominent public and charitable role during the reign of her husband, King Juan Carlos I.
  • C. Infanta Cristina of Spain
    Infanta Cristina of Spain is a Spanish royal, the younger daughter of former King Juan Carlos I and Queen Sofía, known for her work with charitable organizations and her involvement in a high-profile corruption scandal.
  • D. Queen Letizia of Spain
    Queen Letizia of Spain is the modern, media-savvy Queen consort of Spain and former journalist married to King Felipe VI.
  • E. Infanta Carlota Joaquina of Spain
    Infanta Carlota Joaquina of Spain was a Spanish-born princess who became Queen consort of Portugal and a prominent, controversial political figure in the late 18th and early 19th centuries.
  • 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: María Teresa de Borbón y Vallabriga
Triple: [La Maja Vestida, possibleModel, María Teresa de Borbón y Vallabriga]
Generated description
María Teresa de Borbón y Vallabriga was an 18th-century Spanish aristocrat and noblewoman associated with the court of Charles III and Charles IV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: María Teresa de Borbón y Vallabriga
Target entity description: María Teresa de Borbón y Vallabriga was an 18th-century Spanish aristocrat and noblewoman associated with the court of Charles III and Charles IV.
  • A. Maria Teresa Rafaela of Spain
    Maria Teresa Rafaela of Spain was an 18th-century Spanish infanta who became Dauphine of France through her marriage to Louis, Dauphin of France, son of King Louis XV.
  • B. Queen Sofía of Spain
    Queen Sofía of Spain is the former Queen consort of Spain, a Greek-born royal who played a prominent public and charitable role during the reign of her husband, King Juan Carlos I.
  • C. Infanta Cristina of Spain
    Infanta Cristina of Spain is a Spanish royal, the younger daughter of former King Juan Carlos I and Queen Sofía, known for her work with charitable organizations and her involvement in a high-profile corruption scandal.
  • D. Queen Letizia of Spain
    Queen Letizia of Spain is the modern, media-savvy Queen consort of Spain and former journalist married to King Felipe VI.
  • E. Infanta Carlota Joaquina of Spain
    Infanta Carlota Joaquina of Spain was a Spanish-born princess who became Queen consort of Portugal and a prominent, controversial political figure in the late 18th and early 19th centuries.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: possibleModel
Context triple: [La Maja Vestida, possibleModel, María Teresa de Borbón y Vallabriga]
  • A. model
    Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
  • B. hasRealModel
    Indicates that an abstract, theoretical, or simplified entity is associated with a corresponding concrete or physically instantiated model in the real world.
  • C. isModelOf
    Indicates that one entity serves as a representation or abstraction that captures the structure or behavior of another entity.
  • D. concurrentModel
    Indicates that two or more processes, activities, or states occur or are valid at the same time, potentially interacting or overlapping in execution.
  • E. possibleFunction
    Indicates that an entity may serve, or is capable of serving, a particular function or role, without asserting that it actually does so.
  • F. None of above. chosen

Provenance (7 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaca581881908fe8d3d820f839b7 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6939a50819087ac2c55337ceae3 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb74d9f4c8190b6b3f568babfb7b5 completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb7c2b9d08190bce599c364d809b7 completed March 10, 2026, 6:18 a.m.
PD Predicate disambiguation batch_69abd82586f88190a98f60d3247fe2d3 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd949c120819099a9d56eb71a0339 completed March 7, 2026, 7:52 a.m.
Created at: March 6, 2026, 9:55 p.m.