Triple
T4149061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castel Nuovo |
E89859
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Maschio Angioino
Maschio Angioino is a historic medieval and Renaissance fortress in Naples, Italy, renowned as a former royal residence and one of the city’s most iconic landmarks.
|
E418656
|
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: Maschio Angioino | Statement: [Castel Nuovo, alsoKnownAs, Maschio Angioino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maschio Angioino Context triple: [Castel Nuovo, alsoKnownAs, Maschio Angioino]
-
A.
Angelo
Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
-
B.
Guglielmino
Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
-
C.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
D.
Luciano
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
-
E.
Dante Di Loreto
Dante Di Loreto is a television and film producer best known for his work on the hit musical series "Glee" and other acclaimed projects.
- 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: Maschio Angioino Triple: [Castel Nuovo, alsoKnownAs, Maschio Angioino]
Generated description
Maschio Angioino is a historic medieval and Renaissance fortress in Naples, Italy, renowned as a former royal residence and one of the city’s most iconic landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maschio Angioino Target entity description: Maschio Angioino is a historic medieval and Renaissance fortress in Naples, Italy, renowned as a former royal residence and one of the city’s most iconic landmarks.
-
A.
Angelo
Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
-
B.
Guglielmino
Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
-
C.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
D.
Luciano
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
-
E.
Dante Di Loreto
Dante Di Loreto is a television and film producer best known for his work on the hit musical series "Glee" and other acclaimed projects.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02624a9c8190900e42e845ab7e4f |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3136c48190b158142311bfbc6d |
completed | March 14, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_69b58330b1d48190a3af96d3c0e7aa1b |
completed | March 14, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b583ba1fd8819092b7fe73a17dc406 |
completed | March 14, 2026, 3:50 p.m. |
Created at: March 9, 2026, 3:43 p.m.