Triple

T4775350
Position Surface form Disambiguated ID Type / Status
Subject Reince Priebus E106030 entity
Predicate spouse P13 FINISHED
Object Sally Priebus E108164 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: Sally Priebus | Statement: [Reince Priebus, spouse, Sally Priebus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sally Priebus
Context triple: [Reince Priebus, spouse, Sally Priebus]
  • A. Sally Priebus chosen
    Sally Priebus is the wife of American attorney and political figure Reince Priebus, former White House Chief of Staff and Republican National Committee chairman.
  • B. Grace Priebus
    Grace Priebus is the daughter of American attorney and political figure Reince Priebus, former White House Chief of Staff under President Donald Trump.
  • C. Tina Kotek
    Tina Kotek is an American politician and former state legislative leader who became the first openly lesbian governor in the United States.
  • D. Elinor Quarles
    Elinor Quarles is a central fictional character in Aldous Huxley’s novel "Point Counter Point," representing the emotional and moral complexities of modern relationships.
  • E. Betsy Hassett
    Betsy Hassett is a New Zealand international footballer and midfielder who has represented her country at multiple FIFA Women’s World Cups and Olympic Games.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6584481081908f1041a8827e0b42 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43c6d7848190b998eee680149d6f completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:21 p.m.