Triple

T810925
Position Surface form Disambiguated ID Type / Status
Subject Micheline Calmy-Rey E17542 entity
Predicate givenName P17 FINISHED
Object Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
 E103839 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: Micheline | Statement: [Micheline Calmy-Rey, givenName, Micheline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Micheline
Context triple: [Micheline Calmy-Rey, givenName, Micheline]
  • A. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • B. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • C. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • D. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • E. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • 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: Micheline
Triple: [Micheline Calmy-Rey, givenName, Micheline]
Generated description
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Micheline
Target entity description: Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • A. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • B. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • C. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • D. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • E. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84122cc81909b12b69e27d50008 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b946a4348190bfe86d5b93696383 completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9bb13f08190ad75518ba81b210d completed March 4, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:38 p.m.