Triple
T5074548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincenzo |
E114360
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Vincenzetto |
E114360
|
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: Vincenzetto | Statement: [Vincenzo, hasDiminutive, Vincenzetto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincenzetto Context triple: [Vincenzo, hasDiminutive, Vincenzetto]
-
A.
Vincenzo
chosen
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
-
B.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
C.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
D.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
E.
Guglielmino
Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d0be1c819081b26235fe602a30 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba689ee081909a6bb75c6da07db5 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:39 p.m.