Triple

T19347416
Position Surface form Disambiguated ID Type / Status
Subject Ruth Messinger E483917 entity
Predicate name P16 FINISHED
Object Ruth Messinger 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: Ruth Messinger | Statement: [Ruth Messinger, name, Ruth Messinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Messinger
Context triple: [Ruth Messinger, name, Ruth Messinger]
  • A. Ruth Messinger chosen
    Ruth Messinger is an American social justice leader and former Manhattan borough president known for her humanitarian advocacy and long-time presidency of the American Jewish World Service.
  • B. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • C. Marjorie Margolies
    Marjorie Margolies is an American journalist, author, and former U.S. Congresswoman from Pennsylvania.
  • D. Suzanne Newlander
    Suzanne Newlander is an American psychotherapist best known as the longtime wife of the late Academy Award–winning actor Alan Arkin.
  • E. Nancy Lieberman
    Nancy Lieberman is a pioneering American basketball player and coach, widely regarded as one of the greatest figures in women's basketball history and a trailblazer for women in the sport.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185c95248190b1e5bb8626489767 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:34 p.m.