Triple
T16284396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulia |
E395350
|
entity |
| Predicate | hasRelatedName |
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: [Giulia, hasRelatedName, Giulio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giulio Context triple: [Giulia, hasRelatedName, 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.
Lucio
Lucio is a Brazilian central defender renowned for his commanding presence, leadership, and success with both the Brazilian national team and top European clubs such as Bayern Munich and Inter Milan.
- 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.