Triple

T9010529
Position Surface form Disambiguated ID Type / Status
Subject Madeleine E215457 entity
Predicate hasVariant P455 FINISHED
Object Madelene E251419 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: Madelene | Statement: [Madeleine, hasVariant, Madelene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madelene
Context triple: [Madeleine, hasVariant, Madelene]
  • A. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • B. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • C. Madelyn chosen
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • D. Marcelle
    Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
  • E. Adelia
    Adelia is a feminine given name of Latin origin, often considered a variant of Adela and associated with meanings related to nobility.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c1571881908d0b144786b5ee1f completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.