Triple
T15562437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federica Mogherini |
E371031
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
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.
|
E1163521
|
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: Federica | Statement: [Federica Mogherini, givenName, Federica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Federica Context triple: [Federica Mogherini, givenName, Federica]
-
A.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
-
B.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
C.
Lelia
Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
-
D.
Giuliana
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
-
E.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
- 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: Federica Triple: [Federica Mogherini, givenName, Federica]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Federica Target entity description: 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.
-
A.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
-
B.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
C.
Lelia
Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
-
D.
Giuliana
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
-
E.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddc66448190948280fb0c8d390c |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456821988190971539b683f6c656 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff46f44b2c81909f65f0ab455c6549 |
completed | May 9, 2026, 2:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff477a63b48190a453cf669dfda228 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 10, 2026, 4:09 a.m.