Triple

T27287976
Position Surface form Disambiguated ID Type / Status
Subject Bill Gunter E688533 entity
Predicate positionHeld P8 FINISHED
Object Florida Fire Marshal
The Florida Fire Marshal is the state official responsible for overseeing fire safety, prevention, and investigation efforts across Florida.
 E1764629 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: Florida Fire Marshal | Statement: [Bill Gunter, positionHeld, Florida Fire Marshal]
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: Florida Fire Marshal
Triple: [Bill Gunter, positionHeld, Florida Fire Marshal]
Generated description
The Florida Fire Marshal is the state official responsible for overseeing fire safety, prevention, and investigation efforts across Florida.

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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6275714f081908747301e962c8b0b completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12629c63708190b635febbbd8c8fcd completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126ab866e881909878bd2cb8416f3b completed May 24, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a126b50eacc8190921b0ced6ade9fcd completed May 24, 2026, 3:06 a.m.
Created at: April 27, 2026, 11:13 a.m.