Triple

T30866412
Position Surface form Disambiguated ID Type / Status
Subject Ann Kirkpatrick E786212 entity
Predicate positionHeld P8 FINISHED
Object Coconino County attorney
The Coconino County attorney is the chief legal officer and prosecutor for Coconino County, Arizona, responsible for representing the county in legal matters and overseeing criminal prosecutions within its jurisdiction.
E1936685 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: Coconino County attorney | Statement: [Ann Kirkpatrick, positionHeld, Coconino County attorney]
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: Coconino County attorney
Triple: [Ann Kirkpatrick, positionHeld, Coconino County attorney]
Generated description
The Coconino County attorney is the chief legal officer and prosecutor for Coconino County, Arizona, responsible for representing the county in legal matters and overseeing criminal prosecutions within its jurisdiction.

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_69f224b9df2c819086f55f8bcf7f382e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691acf6d481909e6763574daee4cb completed May 3, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7d7f2b88190931817993b1a987c completed June 10, 2026, 2:11 a.m.
NEDg Description generation batch_6a28cd294c8c81909253e91c7d947b96 completed June 10, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_6a28cd8c608c8190938c471d2e1fd8eb completed June 10, 2026, 2:35 a.m.
Created at: April 29, 2026, 8:47 p.m.