Triple
T11953406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Francesca of Savoy |
E284485
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Maria Francesca
Maria Francesca of Savoy was an 18th-century Italian princess of the House of Savoy who became Landgravine of Hesse-Rotenburg through marriage.
|
E956885
|
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: Maria Francesca | Statement: [Maria Francesca of Savoy, givenName, Maria Francesca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Francesca Context triple: [Maria Francesca of Savoy, givenName, Maria Francesca]
-
A.
Maria Laura
Maria Laura is a Belgian princess and Archduchess of Austria-Este, a member of both the Belgian royal family and the House of Habsburg-Lorraine.
-
B.
Maria Beatrice
Maria Beatrice is the Italian-born queen consort of England, Scotland, and Ireland better known in English history as Mary of Modena, the second wife of King James II.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Lelia
Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
-
E.
Patrizia
Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
- 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: Maria Francesca Triple: [Maria Francesca of Savoy, givenName, Maria Francesca]
Generated description
Maria Francesca of Savoy was an 18th-century Italian princess of the House of Savoy who became Landgravine of Hesse-Rotenburg through marriage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Francesca Target entity description: Maria Francesca of Savoy was an 18th-century Italian princess of the House of Savoy who became Landgravine of Hesse-Rotenburg through marriage.
-
A.
Maria Laura
Maria Laura is a Belgian princess and Archduchess of Austria-Este, a member of both the Belgian royal family and the House of Habsburg-Lorraine.
-
B.
Maria Beatrice
Maria Beatrice is the Italian-born queen consort of England, Scotland, and Ireland better known in English history as Mary of Modena, the second wife of King James II.
-
C.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
D.
Lelia
Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
-
E.
Patrizia
Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4590584608190bc00840c43f115a0 |
completed | May 1, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:45 p.m.