Triple

T3545103
Position Surface form Disambiguated ID Type / Status
Subject Janet E74976 entity
Predicate hasNotableBearer P458 FINISHED
Object Janet Reno E153345 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: Janet Reno | Statement: [Janet, hasNotableBearer, Janet Reno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Reno
Context triple: [Janet, hasNotableBearer, Janet Reno]
  • A. Janet Reno chosen
    Janet Reno was the first woman to serve as Attorney General of the United States, holding the office under President Bill Clinton from 1993 to 2001.
  • B. Loretta Lynch
    Loretta Lynch is an American attorney who served as the 83rd United States Attorney General, becoming the first Black woman to hold the position.
  • C. Celia Báez Sotomayor
    Celia Báez Sotomayor was the Puerto Rican-born mother of U.S. Supreme Court Justice Sonia Sotomayor, known for her resilience in raising her children in a Bronx housing project after being widowed.
  • D. Michael Mukasey
    Michael Mukasey is an American lawyer and former federal judge who served as the 81st United States Attorney General under President George W. Bush.
  • E. Barbara Harris
    Barbara Harris is the woman who became Cary Grant’s fifth wife and widow, known primarily for her marriage to the legendary Hollywood actor.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdfe5748190b2de831635221ce1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.