Triple

T6825275
Position Surface form Disambiguated ID Type / Status
Subject April DeBoer E156998 entity
Predicate spouse P13 FINISHED
Object Jayne Rowse E281992 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: Jayne Rowse | Statement: [April DeBoer, spouse, Jayne Rowse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayne Rowse
Context triple: [April DeBoer, spouse, Jayne Rowse]
  • A. Jayne Rowse chosen
    Jayne Rowse is a Michigan nurse and LGBT rights advocate known for challenging the state's same-sex marriage and adoption bans in the landmark DeBoer v. Snyder case.
  • B. Jayne Hughes
    Jayne Hughes is a Manx judicial officer who serves as the High Bailiff, the chief stipendiary magistrate of the Isle of Man.
  • C. Jayne Houdyshell
    Jayne Houdyshell is an American stage and screen actress best known for her acclaimed work on Broadway, including a Tony Award–winning performance in "The Humans."
  • D. Jayne Posner
    Jayne Posner is best known as the first wife of American singer-songwriter Neil Diamond.
  • E. Lucinda Coxon
    Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d581ea5881908ba78c6bf1ce58ee completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861218ac081909798edadae16162f completed March 28, 2026, 11:15 p.m.
Created at: March 27, 2026, 2:18 p.m.