Triple

T24195685
Position Surface form Disambiguated ID Type / Status
Subject LaVell Edwards Stadium E599829 entity
Predicate formerName P65 FINISHED
Object Cougar Stadium
Cougar Stadium was the original name of the outdoor football stadium at Brigham Young University in Provo, Utah, later renamed LaVell Edwards Stadium in honor of the school’s longtime head coach.
E1637601 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: Cougar Stadium | Statement: [LaVell Edwards Stadium, formerName, Cougar Stadium]
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: Cougar Stadium
Triple: [LaVell Edwards Stadium, formerName, Cougar Stadium]
Generated description
Cougar Stadium was the original name of the outdoor football stadium at Brigham Young University in Provo, Utah, later renamed LaVell Edwards Stadium in honor of the school’s longtime head coach.

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_6a0fee52324081908608a4f37887dcca completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fef865e8c81909c338c647f756c65 completed May 22, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff0485fd881909fe491c9183491de completed May 22, 2026, 5:57 a.m.
Created at: April 17, 2026, 11:36 p.m.