Triple

T21633480
Position Surface form Disambiguated ID Type / Status
Subject Cadence Gaëlle Bridges E533893 entity
Predicate middleName P143 FINISHED
Object Gaëlle
Gaëlle is a given name of French origin commonly used as a feminine first name.
 E1494306 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: Gaëlle | Statement: [Cadence Gaëlle Bridges, middleName, Gaëlle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaëlle
Context triple: [Cadence Gaëlle Bridges, middleName, Gaëlle]
  • A. Tiphaine
    Tiphaine is a French given name, notably borne by Tiphaine Auzière, the daughter of Brigitte Macron.
  • B. Sandrine
    Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
  • C. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • D. Geneviève
    Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
  • E. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • 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: Gaëlle
Triple: [Cadence Gaëlle Bridges, middleName, Gaëlle]
Generated description
Gaëlle is a given name of French origin commonly used as a feminine first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaëlle
Target entity description: Gaëlle is a given name of French origin commonly used as a feminine first name.
  • A. Tiphaine
    Tiphaine is a French given name, notably borne by Tiphaine Auzière, the daughter of Brigitte Macron.
  • B. Sandrine
    Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
  • C. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • D. Geneviève
    Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
  • E. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52185dbc819096ad2fc5b7d953f8 completed April 27, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f99a1b4819093788a4052d16b27 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a113126808190ba002d405cc9a3d6 completed May 17, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0a119cb17c8190a8732930b78b60cc completed May 17, 2026, 7:06 p.m.
Created at: April 16, 2026, 6:35 p.m.