Triple

T1480352
Position Surface form Disambiguated ID Type / Status
Subject Sylvia E30938 entity
Predicate relatedName P3889 FINISHED
Object Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
 E170254 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: Silvana | Statement: [Sylvia, relatedName, Silvana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silvana
Context triple: [Sylvia, relatedName, Silvana]
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Iole
    Iole is a figure in Greek mythology, a princess of Oechalia whose relationship with Heracles ultimately leads to the jealousy of his wife Deianira and Heracles’ tragic death.
  • C. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • D. Sabine
    Sabine is a surname most notably associated with Wallace Clement Sabine, the American physicist who founded the field of architectural acoustics.
  • E. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • 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: Silvana
Triple: [Sylvia, relatedName, Silvana]
Generated description
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silvana
Target entity description: Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Iole
    Iole is a figure in Greek mythology, a princess of Oechalia whose relationship with Heracles ultimately leads to the jealousy of his wife Deianira and Heracles’ tragic death.
  • C. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • D. Sabine
    Sabine is a surname most notably associated with Wallace Clement Sabine, the American physicist who founded the field of architectural acoustics.
  • E. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c674cc9c819088fc9146c7a7a914 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca21f288190b5f6f9a5895cdcf0 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1d13ff5c8190821d1d7026e19513 completed March 8, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad1d825bc48190a08db348c6222e03 completed March 8, 2026, 6:56 a.m.
Created at: March 1, 2026, 8:11 p.m.