Triple
T17140906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvio |
E415958
|
entity |
| Predicate | isCognateOf |
P2527
|
FINISHED |
| Object | Silvano |
E428169
|
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: Silvano | Statement: [Sylvio, isCognateOf, Silvano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvano Context triple: [Sylvio, isCognateOf, Silvano]
-
A.
Silvano
chosen
Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
-
B.
Severino
Severino is one of the many given names of Charles Edward Stuart, the 18th-century Jacobite claimant to the British throne known as "Bonnie Prince Charlie."
-
C.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
D.
Renato
Renato is a masculine given name of Latin origin, commonly used in Italian, Portuguese, and Spanish-speaking countries.
-
E.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d44a508190a3a149c3a64957f5 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc263508190aeeb0ea9553cebdb |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:36 a.m.