Triple

T150674
Position Surface form Disambiguated ID Type / Status
Subject Clementine E3423 entity
Predicate hasSpellingVariant P457 FINISHED
Object Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
 E27357 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: Clémentine | Statement: [Clementine, hasSpellingVariant, Clémentine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clémentine
Context triple: [Clementine, hasSpellingVariant, Clémentine]
  • A. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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: Clémentine
Triple: [Clementine, hasSpellingVariant, Clémentine]
Generated description
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clémentine
Target entity description: Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • A. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580dda148190a522e0ac276d5f33 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e3bf8948190a30af36f4c21eded completed Feb. 28, 2026, 7:13 p.m.
NEDg Description generation batch_69a33ef11c548190a866b0a4847e4b16 completed Feb. 28, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69a33f41fb3c8190acfa951fde08d574 completed Feb. 28, 2026, 7:17 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.