Triple

T23134299
Position Surface form Disambiguated ID Type / Status
Subject Princess Delphine of Belgium E577266 entity
Predicate givenName P17 FINISHED
Object Delphine NE NERFINISHED

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: Delphine | Statement: [Princess Delphine of Belgium, givenName, Delphine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delphine
Context triple: [Princess Delphine of Belgium, givenName, Delphine]
  • A. Delphine chosen
    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.
  • B. Lucienne
    Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
  • C. Clélia
    Clélia is a feminine given name, primarily used in French-speaking countries and derived from the Latin name Clelia.
  • D. Agathe
    Agathe is a feminine given name of ancient Greek origin, commonly associated with the meaning “good” or “kind.”
  • E. Eulalie
    Eulalie is a feminine given name of French origin, derived from the Latin "Eulalia" meaning "well-spoken" or "eloquent."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8ab9b08190969984f8c4494b0f completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.