Triple

T5967776
Position Surface form Disambiguated ID Type / Status
Subject Sophie Hélène Béatrice of France E132795 entity
Predicate givenName P17 FINISHED
Object Hélène E209121 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: Hélène | Statement: [Sophie Hélène Béatrice of France, givenName, Hélène]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hélène
Context triple: [Sophie Hélène Béatrice of France, givenName, Hélène]
  • A. Helene chosen
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • B. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • C. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • D. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • E. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3f612481908744cb645f2ede1d completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113585ad88190a35d549448b10def completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:03 p.m.