Triple

T4257810
Position Surface form Disambiguated ID Type / Status
Subject Joe Yule Jr. E96022 entity
Predicate spouse P13 FINISHED
Object Betty Jane Rase E109486 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: Betty Jane Rase | Statement: [Joe Yule Jr., spouse, Betty Jane Rase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Jane Rase
Context triple: [Joe Yule Jr., spouse, Betty Jane Rase]
  • A. Betty Jane Rase chosen
    Betty Jane Rase was an American woman best known for being one of the early wives of actor Mickey Rooney.
  • B. Betty Lou Keim
    Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
  • C. Betty Jean Harris
    Betty Jean Harris was the longtime wife of comedian and actor Redd Foxx, with whom she shared much of his early career and personal life.
  • D. Ruth Snyder
    Ruth Snyder was an American woman infamously executed in 1928 for the murder of her husband, a case that became notorious due to a secretly photographed image of her electrocution published in the press.
  • E. Mary Jo Salter
    Mary Jo Salter is an American poet, editor, and professor known for her formally accomplished, accessible verse and contributions to contemporary poetry.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f7d20b48190a404638c68c31026 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88d3bf48190b26eb8ab848d320e completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.