Triple

T2857861
Position Surface form Disambiguated ID Type / Status
Subject Flint water crisis E63245 entity
Predicate involvesPerson P1256 FINISHED
Object Rick Snyder E156999 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: Rick Snyder | Statement: [Flint water crisis, involvesPerson, Rick Snyder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rick Snyder
Context triple: [Flint water crisis, involvesPerson, Rick Snyder]
  • A. Rick Snyder chosen
    Rick Snyder is an American businessman and Republican politician who served as the 48th governor of Michigan from 2011 to 2019.
  • B. Mitch Daniels
    Mitch Daniels is an American politician and academic leader who served as the 49th governor of Indiana and later as president of Purdue University.
  • C. Brian Whitmer
    Brian Whitmer is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
  • D. Mike DeWine
    Mike DeWine is an American Republican politician and attorney serving as the governor of Ohio and known for his long career in state and national public office.
  • E. Tony Evers
    Tony Evers is an American educator and politician serving as the governor of Wisconsin and a member of the Democratic Party.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf89d3b4819086936f26d8683a2a completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d91f6448190866f6ee0491041cf completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.