Triple
T2723360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Maja Vestida |
E60131
|
entity |
| Predicate | possibleModel |
P41880
|
FINISHED |
| Object |
Pepita Tudó
Pepita Tudó was a Spanish woman best known as the mistress of Manuel de Godoy and a likely muse for Francisco Goya, possibly inspiring his famous painting "La Maja Vestida."
|
E292297
|
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: Pepita Tudó | Statement: [La Maja Vestida, possibleModel, Pepita Tudó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepita Tudó Context triple: [La Maja Vestida, possibleModel, Pepita Tudó]
-
A.
Ilona Komocsin
Ilona Komocsin was the wife and muse of Hungarian architect and sculptor Jenő Bory, for whom he built the romantic Bory Castle as a monument to their love.
-
B.
Katalin
Katalin is a Hungarian given name most prominently associated with biochemist Katalin Karikó, a pioneer of mRNA technology used in COVID-19 vaccines.
-
C.
Ilona Kovács
Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
-
D.
Pepita Embil
Pepita Embil was a renowned Spanish zarzuela and opera singer of the mid-20th century and the mother of tenor Plácido Domingo.
-
E.
Ruzena Bajcsy
Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
- 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: Pepita Tudó Triple: [La Maja Vestida, possibleModel, Pepita Tudó]
Generated description
Pepita Tudó was a Spanish woman best known as the mistress of Manuel de Godoy and a likely muse for Francisco Goya, possibly inspiring his famous painting "La Maja Vestida."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pepita Tudó Target entity description: Pepita Tudó was a Spanish woman best known as the mistress of Manuel de Godoy and a likely muse for Francisco Goya, possibly inspiring his famous painting "La Maja Vestida."
-
A.
Ilona Komocsin
Ilona Komocsin was the wife and muse of Hungarian architect and sculptor Jenő Bory, for whom he built the romantic Bory Castle as a monument to their love.
-
B.
Katalin
Katalin is a Hungarian given name most prominently associated with biochemist Katalin Karikó, a pioneer of mRNA technology used in COVID-19 vaccines.
-
C.
Ilona Kovács
Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
-
D.
Pepita Embil
Pepita Embil was a renowned Spanish zarzuela and opera singer of the mid-20th century and the mother of tenor Plácido Domingo.
-
E.
Ruzena Bajcsy
Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd1fc30c81909ac06588d50abdf8 |
completed | March 7, 2026, 8:09 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. |
Created at: March 6, 2026, 9:55 p.m.