Triple

T21399034
Position Surface form Disambiguated ID Type / Status
Subject Florence E527861 entity
Predicate relatedName P3889 FINISHED
Object Florentyna
Florentyna is a feminine given name, often considered a variant of Florence, used in various European cultures.
 E1484053 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: Florentyna | Statement: [Florence, relatedName, Florentyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Florentyna
Context triple: [Florence, relatedName, Florentyna]
  • A. Marcelina
    Marcelina is a central character in Ian McDonald's science fiction novel "Brasyl," set within its intricate, multi-timeline narrative in Brazil.
  • B. Fabrizia
    Fabrizia is a small town and comune in the Calabria region of southern Italy, known for its mountainous setting and traditional rural character.
  • C. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • D. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • E. Antonina
    Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
  • 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: Florentyna
Triple: [Florence, relatedName, Florentyna]
Generated description
Florentyna is a feminine given name, often considered a variant of Florence, used in various European cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Florentyna
Target entity description: Florentyna is a feminine given name, often considered a variant of Florence, used in various European cultures.
  • A. Marcelina
    Marcelina is a central character in Ian McDonald's science fiction novel "Brasyl," set within its intricate, multi-timeline narrative in Brazil.
  • B. Fabrizia
    Fabrizia is a small town and comune in the Calabria region of southern Italy, known for its mountainous setting and traditional rural character.
  • C. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • D. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • E. Antonina
    Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cf3e808190847ad66d2e65f9f2 completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c298bc6c81909c1c9bceeb11b678 completed May 17, 2026, 1:28 p.m.
NEDg Description generation batch_6a09c3df4b948190a7f039d70e8d56aa completed May 17, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_6a09c49aa5b881908ac2e920684a9fa2 completed May 17, 2026, 1:37 p.m.
Created at: April 16, 2026, 5:14 p.m.