Triple

T1769049
Position Surface form Disambiguated ID Type / Status
Subject Magdalena E38830 entity
Predicate hasVariant P455 FINISHED
Object Magda
Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
E200104 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: Magda | Statement: [Magdalena, hasVariant, Magda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magda
Context triple: [Magdalena, hasVariant, Magda]
  • A. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • B. Margarida
    Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
  • C. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • D. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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: Magda
Triple: [Magdalena, hasVariant, Magda]
Generated description
Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magda
Target entity description: Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
  • A. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • B. Margarida
    Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
  • C. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • D. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648d9f2c8190aca4884648a69eb0 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada991564c81909ae00fdcb47f52af completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab0295b8819092cb51082337b97b completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaea83bfc8190a526d5f2bd460e4c completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.