Triple

T9362047
Position Surface form Disambiguated ID Type / Status
Subject Priesand E225302 entity
Predicate usedBy P260 FINISHED
Object Sally Priesand E44170 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: Sally Priesand | Statement: [Priesand, usedBy, Sally Priesand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sally Priesand
Context triple: [Priesand, usedBy, Sally Priesand]
  • A. Sally Priesand chosen
    Sally Priesand is the first woman to be ordained as a rabbi in the United States and a pioneering figure in Reform Judaism and women’s religious leadership.
  • B. Ruth Messinger
    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.
  • C. Devorah Baron
    Devorah Baron was a pioneering Hebrew writer and one of the first prominent female authors in modern Hebrew literature.
  • D. Judith Lerner
    Judith Lerner is a character who appears in Jean-Luc Godard’s 2004 film "Notre musique."
  • E. Barbara Goldsmith
    Barbara Goldsmith was an American author, journalist, and philanthropist known for her influential works of narrative history and her advocacy for human rights and freedom of expression.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503ca7308190818f27f1faf94a53 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100d000a081909964736e8a7418ba completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:42 p.m.