Triple

T18438792
Position Surface form Disambiguated ID Type / Status
Subject Darlene Alderson E450467 entity
Predicate hasParent P120 FINISHED
Object Magda Alderson 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: Magda Alderson | Statement: [Darlene Alderson, hasParent, Magda Alderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magda Alderson
Context triple: [Darlene Alderson, hasParent, Magda Alderson]
  • A. Magda Alderson chosen
    Magda Alderson is a character in the television series "Mr. Robot," known primarily as a member of Elliot Alderson’s family.
  • B. Maud Gernon
    Maud Gernon was the wife of American lawyer and suffragist Dudley Field Malone, known primarily in historical records through this marriage.
  • C. Margaret Purvis
    Margaret Purvis was the wife of famed FBI agent and crime-fighter Melvin Purvis, known for his role in the pursuit of notorious gangsters in the 1930s.
  • D. Maud Aiken
    Maud Aiken was the wife of Irish revolutionary and long-serving politician Frank Aiken, associated with Ireland’s early 20th-century political and social life.
  • E. Maud Brewster
    Maud Brewster is a cultured and resilient poet and literary critic who becomes a central figure and love interest amid the brutal sea adventure in Jack London’s novel "The Sea-Wolf."
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.