Triple
T7381186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvana |
E170254
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Silvana (with y: "Sylvana") |
E170254
|
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: Silvana (with y: "Sylvana") | Statement: [Silvana, hasVariant, Silvana (with y: "Sylvana")]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvana (with y: "Sylvana") Context triple: [Silvana, hasVariant, Silvana (with y: "Sylvana")]
-
A.
Silvana
chosen
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
B.
Yovanna
Yovanna is a fictional character played by actress Adria Arjona, known from her work in film and television.
-
C.
Silvi
Silvi is a Spanish diminutive form of the given name Silvia, typically used as an affectionate or informal nickname.
-
D.
Yvaine
Yvaine is the fallen star and central heroine of Neil Gaiman’s fantasy novel (and its film adaptation) "Stardust," whose journey intertwines magic, romance, and adventure.
-
E.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c7b5bc81908afa2bf39159979b |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802db77988190aacc4e2f9cbb0bb3 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.