Triple

T13687883
Position Surface form Disambiguated ID Type / Status
Subject Caterinella E328179 entity
Predicate relatedName P3889 FINISHED
Object Katerina
Katerina is a feminine given name commonly used in various European cultures, often considered a variant of Katherine or Katarina.
 E64628 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: Katerina | Statement: [Caterinella, relatedName, Katerina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katerina
Context triple: [Caterinella, relatedName, Katerina]
  • A. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Teodora
    Teodora is a feminine given name commonly used in various languages, derived from the Greek name Theodora meaning "gift of God."
  • D. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • E. Helena Skleraina
    Helena Skleraina was a prominent Byzantine noblewoman and influential companion of Emperor Constantine IX Monomachos, noted for her controversial presence at court and political influence.
  • 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: Katerina
Triple: [Caterinella, relatedName, Katerina]
Generated description
Katerina is a feminine given name commonly used in various European cultures, often considered a variant of Katherine or Katarina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katerina
Target entity description: Katerina is a feminine given name commonly used in various European cultures, often considered a variant of Katherine or Katarina.
  • A. Caterina chosen
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Teodora
    Teodora is a feminine given name commonly used in various languages, derived from the Greek name Theodora meaning "gift of God."
  • D. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • E. Helena Skleraina
    Helena Skleraina was a prominent Byzantine noblewoman and influential companion of Emperor Constantine IX Monomachos, noted for her controversial presence at court and political influence.
  • F. None of above.

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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7c8bbc81908c7aa15c6892be34 completed May 6, 2026, 9:02 p.m.
NEDg Description generation batch_69fbb00b50208190be68a22ae90ef113 completed May 6, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69fbb082c6988190ac679f09449c133d completed May 6, 2026, 9:20 p.m.
Created at: April 9, 2026, 9:53 p.m.