Triple
T18349190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrandino of Naples |
E439619
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ferrandino
Ferrandino, also known as Ferdinand II of Naples, was a late 15th-century king of Naples noted for his brief reign during the Italian Wars and resistance to French invasion.
|
E1321692
|
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: Ferrandino | Statement: [Ferrandino of Naples, alsoKnownAs, Ferrandino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrandino Context triple: [Ferrandino of Naples, alsoKnownAs, Ferrandino]
-
A.
Gianfranco
Gianfranco is an Italian masculine given name commonly associated with notable figures in fashion, sports, and the arts.
-
B.
Gennaro
Gennaro is the surname of Angie Gennaro, a fictional character from Dennis Lehane’s crime novels.
-
C.
Gennaro
Gennaro is an Italian masculine given name, traditionally common in southern Italy and associated with Saint Januarius, the patron saint of Naples.
-
D.
Fiorenzo
Fiorenzo is an Italian given name, notably borne by the celebrated professional cyclist Fiorenzo Magni.
-
E.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
- 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: Ferrandino Triple: [Ferrandino of Naples, alsoKnownAs, Ferrandino]
Generated description
Ferrandino, also known as Ferdinand II of Naples, was a late 15th-century king of Naples noted for his brief reign during the Italian Wars and resistance to French invasion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferrandino Target entity description: Ferrandino, also known as Ferdinand II of Naples, was a late 15th-century king of Naples noted for his brief reign during the Italian Wars and resistance to French invasion.
-
A.
Gianfranco
Gianfranco is an Italian masculine given name commonly associated with notable figures in fashion, sports, and the arts.
-
B.
Gennaro
Gennaro is the surname of Angie Gennaro, a fictional character from Dennis Lehane’s crime novels.
-
C.
Gennaro
Gennaro is an Italian masculine given name, traditionally common in southern Italy and associated with Saint Januarius, the patron saint of Naples.
-
D.
Fiorenzo
Fiorenzo is an Italian given name, notably borne by the celebrated professional cyclist Fiorenzo Magni.
-
E.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f66a4c8190a0ba53d3b349178a |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77030188190ab2cdc913418a22b |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03da9119008190ad17b6d1710aefdb |
completed | May 13, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03db690a3c8190a7cf459a16e3ed75 |
completed | May 13, 2026, 2:01 a.m. |
Created at: April 10, 2026, 10:37 a.m.