Triple
T8818635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan José Campanella |
E209844
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Campanella |
E209844
|
NE FINISHED |
How this triple was built (2 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: Campanella | Statement: [Juan José Campanella, hasFamilyName, Campanella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campanella Context triple: [Juan José Campanella, hasFamilyName, Campanella]
-
A.
Campanella
chosen
Campanella is an Italian-origin surname most famously associated with Roy Campanella, the Hall of Fame catcher for the Brooklyn Dodgers.
-
B.
Campagnone
Campagnone is an Italian surname associated with the Campagnone family lineage.
-
C.
Cannicchio
Cannicchio is a small village in the Cilento area of southern Italy, known as a frazione of the municipality of Pollica in the province of Salerno.
-
D.
Neri di Fioravante
Neri di Fioravante was a 14th-century Italian architect and master builder from Florence, best known for his work on major civic and religious structures in the city.
-
E.
La Foscarina
La Foscarina is the central protagonist of Gabriele D’Annunzio’s novel "Il fuoco," embodying the intense, often destructive passions and artistic ideals explored in the work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600e6e2881908934cbff0ab5d6fd |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa05742948190bcec72a080f6837a |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:46 p.m.