Triple
T19423018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Franco |
E485905
|
entity |
| Predicate | granteeFamilyName |
P18
|
FINISHED |
| Object | Franco y Polo |
—
|
NE NERFINISHED |
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: Franco y Polo | Statement: [Duchess of Franco, granteeFamilyName, Franco y Polo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franco y Polo Context triple: [Duchess of Franco, granteeFamilyName, Franco y Polo]
-
A.
Federico
Federico is the Italian and Spanish form of the given name Frederick, commonly used in Romance-language countries.
-
B.
Francesco Francia
Francesco Francia was an Italian Renaissance painter and goldsmith from Bologna, known for his refined religious altarpieces and influential role in the Bolognese school of painting.
-
C.
Filippo
Filippo is an Italian given name most famously borne by former professional footballer and manager Filippo Inzaghi.
-
D.
Fernando
Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
-
E.
Fernando
Fernando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking and Lusophone countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franco y Polo Target entity description: Franco y Polo is the family name associated with the Spanish noble title of Duchess of Franco, linked to the descendants of dictator Francisco Franco.
-
A.
Federico
Federico is the Italian and Spanish form of the given name Frederick, commonly used in Romance-language countries.
-
B.
Francesco Francia
Francesco Francia was an Italian Renaissance painter and goldsmith from Bologna, known for his refined religious altarpieces and influential role in the Bolognese school of painting.
-
C.
Filippo
Filippo is an Italian given name most famously borne by former professional footballer and manager Filippo Inzaghi.
-
D.
Fernando
Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
-
E.
Fernando
Fernando was the given name of the Duke of Alba who served as governor-general, a prominent Spanish noble and military leader.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: granteeFamilyName Context triple: [Duchess of Franco, granteeFamilyName, Franco y Polo]
-
A.
granteeFullName
Indicates the complete personal name of the entity that receives a grant or is designated as the grantee.
-
B.
grantedSurnameBy
Indicates that one entity formally conferred or assigned a surname to another entity.
-
C.
familyName
chosen
Indicates that one entity is the family (last) name associated with another entity (typically a person).
-
D.
adoptedFamilyName
Indicates that an entity has taken or been given a family name different from their original one, typically through adoption, marriage, or personal choice.
-
E.
granteeSpouse
Indicates that one person is the spouse of the person who receives a grant, transfer, or similar benefit.
- F. None of above.
Provenance (3 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632169d9c81909a88704c6beb8fe0 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.