Triple

T893544
Position Surface form Disambiguated ID Type / Status
Subject Reince Priebus E19292 entity
Predicate nickname P55 FINISHED
Object Reince E19292 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: Reince | Statement: [Reince Priebus, nickname, Reince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reince
Context triple: [Reince Priebus, nickname, Reince]
  • A. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • B. Reince Priebus chosen
    Reince Priebus is an American attorney and political operative who served as the first White House Chief of Staff in the Trump administration and previously chaired the Republican National Committee.
  • C. Paul Ryan
    Paul Ryan is an American Republican politician who served as the 54th Speaker of the U.S. House of Representatives and was the 2012 Republican nominee for vice president.
  • D. Steve Bartlett
    Steve Bartlett is an American politician and businessman best known for serving as the mayor of Dallas, Texas, in the early 1990s.
  • E. Bill Pence
    Bill Pence was an American film executive and co-founder of the influential Telluride Film Festival, known for shaping the landscape of international film exhibition and appreciation.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c730693c81909dfda6c5aca876c5 completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.