Triple

T3053792
Position Surface form Disambiguated ID Type / Status
Subject Rachida Brakni E60431 entity
Predicate hasChild P369 FINISHED
Object Selma Cantona E60426 NE FINISHED

How this triple was built (2 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: Selma Cantona | Statement: [Rachida Brakni, hasChild, Selma Cantona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selma Cantona
Context triple: [Rachida Brakni, hasChild, Selma Cantona]
  • A. Cantona chosen
    Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
  • B. Mauroy
    Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
  • C. Bernardin
    Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
  • D. Vian
    Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
  • E. de Chomedey
    de Chomedey is the family name of Paul de Chomedey, Sieur de Maisonneuve, the French military officer and founder of Montreal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.