Triple

T9228299
Position Surface form Disambiguated ID Type / Status
Subject Margaret Minsky E221745 entity
Predicate hasRelative P367 FINISHED
Object Gloria Rudisch E128048 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: Gloria Rudisch | Statement: [Margaret Minsky, hasRelative, Gloria Rudisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Rudisch
Context triple: [Margaret Minsky, hasRelative, Gloria Rudisch]
  • A. Gloria Rudisch chosen
    Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
  • B. Tamara Tunie
    Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
  • C. Julie Landau
    Julie Landau is known as the wife of American film producer Jon Landau, who co-produced major blockbusters such as Titanic and Avatar.
  • D. Lisa Edelstein
    Lisa Edelstein is an American actress and writer best known for her role as Dr. Lisa Cuddy on the television series "House" and for prominent performances in various film and TV dramas and comedies.
  • E. Lesley Ann Warren
    Lesley Ann Warren is an American actress and singer known for her work in film, television, and musical theater, including prominent roles in 1960s musicals and later acclaimed performances in movies and TV series.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa0a7608190b10d913e5e3d1b3e completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e33fa3d48190bc5f4ba72b422b85 completed April 4, 2026, 10:09 a.m.
Created at: March 30, 2026, 7:29 p.m.