Triple

T7231242
Position Surface form Disambiguated ID Type / Status
Subject Steve Beshear E154906 entity
Predicate birthName P65 FINISHED
Object Steven Lynn Beshear E154906 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: Steven Lynn Beshear | Statement: [Steve Beshear, birthName, Steven Lynn Beshear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Lynn Beshear
Context triple: [Steve Beshear, birthName, Steven Lynn Beshear]
  • A. Steve Beshear chosen
    Steve Beshear is an American Democratic politician who served as the 61st governor of Kentucky from 2007 to 2015.
  • B. Eric Holcomb
    Eric Holcomb is an American politician serving as the governor of Indiana and a member of the Republican Party.
  • C. Bill McCreary
    Bill McCreary is a former National Hockey League referee renowned for his long and distinguished officiating career, including working numerous Stanley Cup Finals and international tournaments.
  • D. Anne McCrory
    Anne McCrory is the mother of the late British actress Helen McCrory, known for her acclaimed work in film, television, and theatre.
  • E. 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.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea0f09648190b285993556f704d5 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d388ac40819095698776c7b9878f completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:54 p.m.