Triple

T21526801
Position Surface form Disambiguated ID Type / Status
Subject The Prince and Me E531117 entity
Predicate editedBy P1954 FINISHED
Object Mary Jo Markey 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: Mary Jo Markey | Statement: [The Prince and Me, editedBy, Mary Jo Markey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Jo Markey
Context triple: [The Prince and Me, editedBy, Mary Jo Markey]
  • A. Mary Jo Markey chosen
    Mary Jo Markey is an American film and television editor best known for her longtime collaboration with J.J. Abrams on projects such as Lost and the Star Trek and Star Wars franchises.
  • B. Connie Nelson
    Connie Nelson is a country music singer known for performing songs such as "She’s Not for You."
  • C. Susan Mills
    Susan Mills was an American educator and philanthropist best known for co-founding Mills College, one of the first women’s colleges in the western United States.
  • D. Marcia Roy
    Marcia Roy is a central character in the television series "Succession," known as Logan Roy’s poised, enigmatic, and fiercely protective third wife.
  • E. Dawn Clark Netsch
    Dawn Clark Netsch was an American lawyer, law professor, and pioneering Illinois politician who became the first woman elected to statewide executive office in Illinois as comptroller and was known for her advocacy of government ethics and tax reform.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88515874819085e251c0d297a587 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.