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.