Triple
T21020144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS Alabama |
E517783
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Enrica
Enrica was the original name of the Confederate commerce raider later commissioned as CSS Alabama during the American Civil War.
|
E1462168
|
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: Enrica | Statement: [CSS Alabama, originalName, Enrica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enrica Context triple: [CSS Alabama, originalName, Enrica]
-
A.
Federica
Federica is an Italian given name most notably borne by Federica Mogherini, a prominent Italian politician and former EU High Representative for Foreign Affairs and Security Policy.
-
B.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
C.
Enrica Soma
Enrica Soma was an American ballerina and model best known as the second wife of film director John Huston and the mother of actress Anjelica Huston.
-
D.
Maria Rosaria
Maria Rosaria is the birth name of Italian politician and former television presenter Mara Carfagna.
-
E.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
- 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: Enrica Triple: [CSS Alabama, originalName, Enrica]
Generated description
Enrica was the original name of the Confederate commerce raider later commissioned as CSS Alabama during the American Civil War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enrica Target entity description: Enrica was the original name of the Confederate commerce raider later commissioned as CSS Alabama during the American Civil War.
-
A.
Federica
Federica is an Italian given name most notably borne by Federica Mogherini, a prominent Italian politician and former EU High Representative for Foreign Affairs and Security Policy.
-
B.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
C.
Enrica Soma
Enrica Soma was an American ballerina and model best known as the second wife of film director John Huston and the mother of actress Anjelica Huston.
-
D.
Maria Rosaria
Maria Rosaria is the birth name of Italian politician and former television presenter Mara Carfagna.
-
E.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5c905c8190ba2f9f82b6cd1648 |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b68fd48819098ba4ba22a4f1cbd |
completed | May 17, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a093d26c38881908f8e5e0200411330 |
completed | May 17, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093da7c214819099218effbfba8ac7 |
completed | May 17, 2026, 4:01 a.m. |
Created at: April 16, 2026, 1:54 p.m.