Triple
T16284448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iulia |
E395352
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Giulia |
E395350
|
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: Giulia | Statement: [Iulia, hasVariant, Giulia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giulia Context triple: [Iulia, hasVariant, Giulia]
-
A.
Giulia
chosen
Giulia is the Italian form of the given name Julia, commonly used for women in Italy and other Italian-speaking communities.
-
B.
Giulia
Giulia is Alfa Romeo’s compact luxury sports sedan renowned for its sharp handling, Italian styling, and high-performance variants like the Quadrifoglio.
-
C.
Gabrieletta
Gabrieletta is an Italian feminine diminutive given name derived from Gabriele, typically conveying affection or smallness.
-
D.
Iulia
Iulia is a Latin given name, historically used in ancient Rome and closely associated with the feminine form of the name Julius.
-
E.
Giuliana
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24912c5808190a0d9c9f491315068 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c8f51c8190b73cdf2834eda57f |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.