Triple

T12580287
Position Surface form Disambiguated ID Type / Status
Subject Rémy Cabella E300316 entity
Predicate familyName P18 FINISHED
Object Cabella
Cabella is a French surname most notably borne by professional footballer Rémy Cabella.
 E991036 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: Cabella | Statement: [Rémy Cabella, familyName, Cabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cabella
Context triple: [Rémy Cabella, familyName, Cabella]
  • A. Mycoskie
    Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
  • B. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • C. Crombie
    Crombie is a Scottish-origin surname borne by various notable individuals in politics, sports, and the arts.
  • D. Trevalyn
    Trevalyn is a small village in Wrexham County Borough, Wales, known for its historic hall and rural surroundings near Rossett.
  • E. Nieves
    Nieves is a Spanish-language surname commonly found in Puerto Rico and other Spanish-speaking regions.
  • 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: Cabella
Triple: [Rémy Cabella, familyName, Cabella]
Generated description
Cabella is a French surname most notably borne by professional footballer Rémy Cabella.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cabella
Target entity description: Cabella is a French surname most notably borne by professional footballer Rémy Cabella.
  • A. Mycoskie
    Mycoskie is the surname of Blake Mycoskie, the American entrepreneur best known as the founder of TOMS Shoes and pioneer of the “One for One” social entrepreneurship model.
  • B. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • C. Crombie
    Crombie is a Scottish-origin surname borne by various notable individuals in politics, sports, and the arts.
  • D. Trevalyn
    Trevalyn is a small village in Wrexham County Borough, Wales, known for its historic hall and rural surroundings near Rossett.
  • E. Nieves
    Nieves is a Spanish-language surname commonly found in Puerto Rico and other Spanish-speaking regions.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559ba5108190b85be540a405eec8 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566fe5dc8190910bc7ad34593a58 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65702435c8190a69e681c56a19b16 completed May 2, 2026, 7:56 p.m.
Created at: April 9, 2026, 5:01 p.m.