Triple

T21159012
Position Surface form Disambiguated ID Type / Status
Subject Loretta E521385 entity
Predicate hasNotableBearer P458 FINISHED
Object Loretta Lynch 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: Loretta Lynch | Statement: [Loretta, hasNotableBearer, Loretta Lynch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loretta Lynch
Context triple: [Loretta, hasNotableBearer, Loretta Lynch]
  • A. Loretta Lynch chosen
    Loretta Lynch is an American attorney who served as the 83rd United States Attorney General, becoming the first Black woman to hold the position.
  • B. Christine Moynihan Barr
    Christine Moynihan Barr is an American librarian and former bank compliance manager best known as the wife of former U.S. Attorney General William Barr.
  • C. Janet Reno
    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.
  • D. Alma Gonzales
    Alma Gonzales is best known as the former wife of American actor Richard Thomas, who played John-Boy Walton on the television series "The Waltons."
  • E. Eric Holder
    Eric Holder is an American lawyer and politician who served as the 82nd United States Attorney General, becoming the first African American to hold that office.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252e9ef481908f4904c535f3da8b completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.