Triple

T4858719
Position Surface form Disambiguated ID Type / Status
Subject Corine E108601 entity
Predicate hasVariant P455 FINISHED
Object Corinne
Corinne is a feminine given name of French origin, often considered a variant of Corine and derived from the Greek name Korinna.
 E474749 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: Corinne | Statement: [Corine, hasVariant, Corinne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Corinne
Context triple: [Corine, hasVariant, Corinne]
  • A. Célestine
    Célestine is a French feminine given name of Latin origin, derived from "caelestis," meaning "heavenly" or "celestial."
  • B. Angélique
    Angélique is a French feminine given name historically borne by figures such as Angélique Diderot, the daughter of philosopher Denis Diderot.
  • C. Camille
    Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
  • D. Camille
    Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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: Corinne
Triple: [Corine, hasVariant, Corinne]
Generated description
Corinne is a feminine given name of French origin, often considered a variant of Corine and derived from the Greek name Korinna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Corinne
Target entity description: Corinne is a feminine given name of French origin, often considered a variant of Corine and derived from the Greek name Korinna.
  • A. Célestine
    Célestine is a French feminine given name of Latin origin, derived from "caelestis," meaning "heavenly" or "celestial."
  • B. Angélique
    Angélique is a French feminine given name historically borne by figures such as Angélique Diderot, the daughter of philosopher Denis Diderot.
  • C. Camille
    Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
  • D. Camille
    Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
  • E. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • 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_69be5cf05d7c8190ac6e1b9e93b5256f completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5f98d4d481908eedf03569d38642 completed March 21, 2026, 9:06 a.m.
NED2 Entity disambiguation (via description) batch_69be6044d31081908384ed9da8c6b707 completed March 21, 2026, 9:09 a.m.
Created at: March 20, 2026, 1:26 p.m.