Triple
T1167717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian |
E24836
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Giuliano |
E135120
|
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: Giuliano | Statement: [Julian, hasVariant, Giuliano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giuliano Context triple: [Julian, hasVariant, Giuliano]
-
A.
Giuliano
chosen
Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
-
B.
Giulio
Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
-
C.
Alessandro
Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
-
D.
Giorgio
Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
-
E.
Vincenzo
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2e36fc081908de3b67293c7bbf6 |
completed | March 7, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:45 p.m.