Triple

T7381185
Position Surface form Disambiguated ID Type / Status
Subject Silvana E170254 entity
Predicate hasVariant P455 FINISHED
Object Sylvana
Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
 E662180 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: Sylvana | Statement: [Silvana, hasVariant, Sylvana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sylvana
Context triple: [Silvana, hasVariant, Sylvana]
  • A. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • 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: Sylvana
Triple: [Silvana, hasVariant, Sylvana]
Generated description
Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sylvana
Target entity description: Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • A. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • 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_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_69c810e3c2bc8190a455dac60dfdbc97 completed March 28, 2026, 5:33 p.m.
NEDg Description generation batch_69c811c9c5e48190a610d890780c7aa4 completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8128e49948190822787e76b1663a6 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:08 p.m.