Triple

T25830682
Position Surface form Disambiguated ID Type / Status
Subject Andy Beshear E650652 entity
Predicate notableFor P22 FINISHED
Object COVID-19 pandemic response in Kentucky
The COVID-19 pandemic response in Kentucky refers to the series of public health measures, emergency actions, and communication efforts led by Governor Andy Beshear to mitigate the spread and impact of the virus in the state.
E1699167 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: COVID-19 pandemic response in Kentucky | Statement: [Andy Beshear, notableFor, COVID-19 pandemic response in Kentucky]
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: COVID-19 pandemic response in Kentucky
Triple: [Andy Beshear, notableFor, COVID-19 pandemic response in Kentucky]
Generated description
The COVID-19 pandemic response in Kentucky refers to the series of public health measures, emergency actions, and communication efforts led by Governor Andy Beshear to mitigate the spread and impact of the virus in the state.

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_69e7ab37438081908f1ccf6284839520 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f601f106a08190ad7b4537223dbd8c completed May 2, 2026, 1:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da29dc8c81909c3a7da5c2b43336 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dc6fb1508190a14c70bbe0302671 completed May 22, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_6a10dd08394081908d41ab46ad30a279 completed May 22, 2026, 10:47 p.m.
Created at: April 22, 2026, 7:38 a.m.