Triple

T19648536
Position Surface form Disambiguated ID Type / Status
Subject Michel Gill E471743 entity
Predicate spouse P13 FINISHED
Object Jayne Atkinson 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: Jayne Atkinson | Statement: [Michel Gill, spouse, Jayne Atkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayne Atkinson
Context triple: [Michel Gill, spouse, Jayne Atkinson]
  • A. Jayne Atkinson chosen
    Jayne Atkinson is a British-American actress known for her work in film, television, and theater, including prominent roles in series such as "House of Cards" and "Criminal Minds."
  • 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 Rowse
    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.
  • D. Jayne Posner
    Jayne Posner is best known as the first wife of American singer-songwriter Neil Diamond.
  • E. Lorna Patterson
    Lorna Patterson is an American actress best known for her comedic role as the singing stewardess in the classic parody film "Airplane!"
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.