Triple
T4128410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvio |
E92780
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object |
Silvano
Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
|
E428169
|
NE FINISHED |
How this triple was built (4 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: [Silvio, hasRelatedName, Silvano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvano Context triple: [Silvio, hasRelatedName, Silvano]
-
A.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
B.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
-
C.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
D.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
E.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silvano Triple: [Silvio, hasRelatedName, Silvano]
Generated description
Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silvano Target entity description: Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
-
A.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
B.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
-
C.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
D.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
-
E.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
- F. None of above. chosen
Provenance (5 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af021c5ca48190a829bab07dda55d0 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6feae608190b677362d9c734165 |
completed | March 14, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69b5c79491a48190865aaa674baebd9b |
completed | March 14, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c80ecc7481908deb061969a82c59 |
completed | March 14, 2026, 8:41 p.m. |
Created at: March 9, 2026, 3:42 p.m.