Triple

T8946965
Position Surface form Disambiguated ID Type / Status
Subject Pietro Maximoff E213243 entity
Predicate parent P120 FINISHED
Object Magda
Magda is a Marvel Comics character best known as the human wife of Magneto and the mother of the mutant twins Quicksilver and Scarlet Witch.
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: [Pietro Maximoff, parent, Magda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magda
Context triple: [Pietro Maximoff, parent, Magda]
  • A. Magda
    Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
  • B. Marta
    Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
  • C. Marta
    Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
  • D. Marta
    Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
  • E. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • 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: [Pietro Maximoff, parent, Magda]
Generated description
Magda is a Marvel Comics character best known as the human wife of Magneto and the mother of the mutant twins Quicksilver and Scarlet Witch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magda
Target entity description: Magda is a Marvel Comics character best known as the human wife of Magneto and the mother of the mutant twins Quicksilver and Scarlet Witch.
  • A. Magda chosen
    Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
  • B. Marta
    Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
  • C. Marta
    Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
  • D. Marta
    Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
  • E. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • F. None of above.

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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc27bae88819094bcfdf10e89018b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc61d26fc8190817b430cb6fa9646 completed April 3, 2026, 1:52 p.m.
Created at: March 30, 2026, 6:59 p.m.