Triple
T5074547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincenzo |
E114360
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Vincenzino |
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: Vincenzino | Statement: [Vincenzo, hasDiminutive, Vincenzino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincenzino Context triple: [Vincenzo, hasDiminutive, Vincenzino]
-
A.
Vincenzo
chosen
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
-
B.
Guarino
Guarino is an Italian given name most notably borne by the Baroque architect and Theatine priest Guarino Guarini.
-
C.
Coluccio
Coluccio is an Italian masculine given name most notably borne by the early Renaissance humanist and chancellor Coluccio Salutati.
-
D.
Maffeo
Maffeo is the given name of Pope Urban VIII, the 17th-century head of the Catholic Church known for his patronage of the arts and involvement in the Galileo affair.
-
E.
Francesco
Francesco is the birth name of Frank Capra, the renowned Italian-American film director known for classic Hollywood movies such as "It's a Wonderful Life."
- 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_69beb11b3f3c819089f09178f17940c5 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.