Triple

T13803599
Position Surface form Disambiguated ID Type / Status
Subject Rhoda E331702 entity
Predicate mainCharacter P1183 FINISHED
Object Rhoda Morgenstern E344780 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: Rhoda Morgenstern | Statement: [Rhoda, mainCharacter, Rhoda Morgenstern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhoda Morgenstern
Context triple: [Rhoda, mainCharacter, Rhoda Morgenstern]
  • A. Rhoda Morgenstern chosen
    Rhoda Morgenstern is a sharp-witted, self-deprecating New Yorker and Mary Richards’ best friend, who became one of television’s most beloved sitcom characters and later the star of her own spin-off series, Rhoda.
  • B. Rhoda Fischer
    Rhoda Fischer is the wife of prominent economist and former central banker Stanley Fischer.
  • C. Rhoda Makoff
    Rhoda Makoff is an educator best known for founding Crossroads School, an independent progressive school in Santa Monica, California.
  • D. Esther Bubley
    Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
  • E. Edie Wasserman
    Edie Wasserman was a prominent Hollywood philanthropist and influential figure in the entertainment community, known for her extensive charitable work and social leadership.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70261c8819099408952f137456d completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 10:12 p.m.