Triple

T6773430
Position Surface form Disambiguated ID Type / Status
Subject Governor of Kentucky E155096 entity
Predicate officeHolder P537 FINISHED
Object Andy Beshear
Andy Beshear is an American Democratic politician and attorney serving as the governor of Kentucky.
E154906 NE FINISHED

How this triple was built (4 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: Andy Beshear | Statement: [Governor of Kentucky, officeHolder, Andy Beshear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Beshear
Context triple: [Governor of Kentucky, officeHolder, Andy Beshear]
  • A. Steve Beshear
    Steve Beshear is an American Democratic politician who served as the 61st governor of Kentucky from 2007 to 2015.
  • B. 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.
  • C. Eric Holcomb
    Eric Holcomb is an American politician serving as the governor of Indiana and a member of the Republican Party.
  • D. 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.
  • E. Anne McCrory
    Anne McCrory is the mother of the late British actress Helen McCrory, known for her acclaimed work in film, television, and theatre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Andy Beshear
Triple: [Governor of Kentucky, officeHolder, Andy Beshear]
Generated description
Andy Beshear is an American Democratic politician and attorney serving as the governor of Kentucky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andy Beshear
Target entity description: Andy Beshear is an American Democratic politician and attorney serving as the governor of Kentucky.
  • A. Steve Beshear chosen
    Steve Beshear is an American Democratic politician who served as the 61st governor of Kentucky from 2007 to 2015.
  • B. 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.
  • C. Eric Holcomb
    Eric Holcomb is an American politician serving as the governor of Indiana and a member of the Republican Party.
  • D. 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.
  • E. Anne McCrory
    Anne McCrory is the mother of the late British actress Helen McCrory, known for her acclaimed work in film, television, and theatre.
  • F. None of above.

Provenance (5 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24c1b088190b99e9264b9b03dd8 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c75b9c819099b0be616925a0b9 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c7135106288190b5b20523c3efa229 completed March 27, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7141cd52c8190a783590ad1067840 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.