Triple

T24195992
Position Surface form Disambiguated ID Type / Status
Subject Zach Wilson E599836 entity
Predicate highSchool P5 FINISHED
Object Corner Canyon High School
Corner Canyon High School is a public high school in Draper, Utah, known for its strong athletics programs and as the alma mater of NFL quarterback Zach Wilson.
E1622000 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: Corner Canyon High School | Statement: [Zach Wilson, highSchool, Corner Canyon High School]
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: Corner Canyon High School
Triple: [Zach Wilson, highSchool, Corner Canyon High School]
Generated description
Corner Canyon High School is a public high school in Draper, Utah, known for its strong athletics programs and as the alma mater of NFL quarterback Zach Wilson.

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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e24ad83c819084ac9e34d2cc2120 completed April 29, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad4c6e24819081d1614160b76745 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae1129088190b192b2eca85d831a completed May 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0fafea85a88190a11101755d9e2f7b completed May 22, 2026, 1:22 a.m.
Created at: April 17, 2026, 11:36 p.m.