Triple

T25067704
Position Surface form Disambiguated ID Type / Status
Subject Vermont Governor's Cabinet E627826 entity
Predicate hasMember P10 FINISHED
Object Commissioner of Health of Vermont
The Commissioner of Health of Vermont is the state’s top public health official, responsible for overseeing health policy, disease prevention, and health promotion through the Vermont Department of Health.
E1660463 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: Commissioner of Health of Vermont | Statement: [Vermont Governor's Cabinet, hasMember, Commissioner of Health of Vermont]
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: Commissioner of Health of Vermont
Triple: [Vermont Governor's Cabinet, hasMember, Commissioner of Health of Vermont]
Generated description
The Commissioner of Health of Vermont is the state’s top public health official, responsible for overseeing health policy, disease prevention, and health promotion through the Vermont Department of Health.

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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4599f6f50819097b8b4fc59ec9a81 completed May 1, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048d855388190bed563819f0d2c85 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a1049b7fa908190a51985413a9d3612 completed May 22, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_6a104a151da88190a2d8aba44f1dd924 completed May 22, 2026, 12:20 p.m.
Created at: April 18, 2026, 6:10 a.m.