Triple

T8517967
Position Surface form Disambiguated ID Type / Status
Subject Maddalena E201622 entity
Predicate hasVariant P455 FINISHED
Object Maddalene
Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
E739560 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: Maddalene | Statement: [Maddalena, hasVariant, Maddalene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maddalene
Context triple: [Maddalena, hasVariant, Maddalene]
  • A. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • B. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • C. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • D. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • E. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • 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: Maddalene
Triple: [Maddalena, hasVariant, Maddalene]
Generated description
Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maddalene
Target entity description: Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • A. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • B. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • C. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • D. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • E. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe626787c819087e72dd76b2d9310 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e6c93d081909da2a748b0fa6fd3 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffc30e08190b71e941d63d56015 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54dc664081908ff63ec7f92834d7 completed April 2, 2026, 11:37 a.m.
Created at: March 30, 2026, 6:15 p.m.