Triple

T27354580
Position Surface form Disambiguated ID Type / Status
Subject Secretary of State of Florida E685648 entity
Predicate nativeLabel P657 FINISHED
Object Florida Secretary of State
The Florida Secretary of State is a statewide elected official who oversees elections, maintains public records and corporate registrations, and serves as the state’s chief cultural officer.
E1770032 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 Secretary of State | Statement: [Secretary of State of Florida, nativeLabel, Florida Secretary of State]
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 Secretary of State
Triple: [Secretary of State of Florida, nativeLabel, Florida Secretary of State]
Generated description
The Florida Secretary of State is a statewide elected official who oversees elections, maintains public records and corporate registrations, and serves as the state’s chief cultural officer.

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_69ef14887c288190931b8431fdbf53c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62c1c72f08190b50b81c56e59da63 completed May 2, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7d670308190ac810a4ec0683da9 completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a87492b48190be0461fafe4d081d completed May 24, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_6a12a926a67c819083713f0245b3e299 completed May 24, 2026, 7:30 a.m.
Created at: April 27, 2026, 11:50 a.m.