Triple
T6064483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuliano |
E135120
|
entity |
| Predicate | relatedToName |
P3889
|
FINISHED |
| Object | Giulio |
E83901
|
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: Giulio | Statement: [Giuliano, relatedToName, Giulio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giulio Context triple: [Giuliano, relatedToName, Giulio]
-
A.
Giulio
chosen
Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
-
B.
Giuliano
Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
-
C.
Lucio
Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
-
D.
Lucio
Lucio is a roguish, witty gentleman in Shakespeare’s play "Measure for Measure," known for his bawdy humor, moral hypocrisy, and role as a comic commentator on the play’s themes of justice and corruption.
-
E.
Caius
Caius is one of the three ancient vampire rulers of the Volturi coven in the Twilight series, known for his cruelty and strict enforcement of vampire law.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05723c91c819090b4d4672e72f9f3 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d4499dc8190943486cf1af83f0a |
completed | March 24, 2026, 4:04 a.m. |
Created at: March 22, 2026, 4:10 p.m.