Triple
T21780125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juliana |
E537687
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Giuliana |
—
|
NE NERFINISHED |
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: Giuliana | Statement: [Juliana, hasVariant, Giuliana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giuliana Context triple: [Juliana, hasVariant, Giuliana]
-
A.
Giuliana
chosen
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
-
B.
Patrizia
Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
-
C.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
D.
Lelia
Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
-
E.
Giuseppina
Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462cae6481908d3e7f71683d8921 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.