Triple

T4858727
Position Surface form Disambiguated ID Type / Status
Subject Corine E108601 entity
Predicate relatedName P3889 FINISHED
Object Corina
Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
 E476268 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: Corina | Statement: [Corine, relatedName, Corina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Corina
Context triple: [Corine, relatedName, Corina]
  • A. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Daniela
    Daniela is a feminine given name commonly used in many languages, often as the female form of Daniel.
  • 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: Corina
Triple: [Corine, relatedName, Corina]
Generated description
Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Corina
Target entity description: Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • A. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • D. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • E. Daniela
    Daniela is a feminine given name commonly used in many languages, often as the female form of Daniel.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5b2f008190a5fd11d3aec165fb completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67dd3df4819092a59dfb85d10683 completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be695f90e88190912cac612ea680f2 completed March 21, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69be69b578708190951ebc93ecbaee7d completed March 21, 2026, 9:49 a.m.
Created at: March 20, 2026, 1:26 p.m.