Triple
T3237996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogadishu Cathedral (ruins) |
E67899
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Antonio Vandone di Cortemilia
Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
|
E340423
|
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: Antonio Vandone di Cortemilia | Statement: [Mogadishu Cathedral (ruins), architect, Antonio Vandone di Cortemilia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonio Vandone di Cortemilia Context triple: [Mogadishu Cathedral (ruins), architect, Antonio Vandone di Cortemilia]
-
A.
Guarino
Guarino is an Italian given name most notably borne by the Baroque architect and Theatine priest Guarino Guarini.
-
B.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
C.
Vincenzo
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
-
D.
Lorenzo
Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
-
E.
Alfieri
Alfieri is the lawyer-narrator in Arthur Miller's play "A View from the Bridge," serving as both chorus and moral commentator on the unfolding tragedy.
- 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: Antonio Vandone di Cortemilia Triple: [Mogadishu Cathedral (ruins), architect, Antonio Vandone di Cortemilia]
Generated description
Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antonio Vandone di Cortemilia Target entity description: Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
-
A.
Guarino
Guarino is an Italian given name most notably borne by the Baroque architect and Theatine priest Guarino Guarini.
-
B.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
C.
Vincenzo
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
-
D.
Lorenzo
Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
-
E.
Alfieri
Alfieri is the lawyer-narrator in Arthur Miller's play "A View from the Bridge," serving as both chorus and moral commentator on the unfolding tragedy.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef3b04081908ce9b788e2e5c63c |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774a97c481908be820bc5ddf786d |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b2780e41e0819080ddb26668f32838 |
completed | March 12, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27bd238a48190b9d13ee8a8bc955d |
completed | March 12, 2026, 8:39 a.m. |
Created at: March 8, 2026, 3:08 p.m.