Triple

T6689729
Position Surface form Disambiguated ID Type / Status
Subject Grand Canyon University E152593 entity
Predicate athleticsNickname P55 FINISHED
Object Lopes
Lopes is the nickname for the athletic teams representing Grand Canyon University.
 E611197 NE FINISHED

How this triple was built (4 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: Lopes | Statement: [Grand Canyon University, athleticsNickname, Lopes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lopes
Context triple: [Grand Canyon University, athleticsNickname, Lopes]
  • A. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • B. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • C. Milson
    Milson is a residential suburb located in the city of Palmerston North, New Zealand.
  • D. Gomes
    Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
  • E. Santonio
    Santonio is a locality or district within the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lopes
Triple: [Grand Canyon University, athleticsNickname, Lopes]
Generated description
Lopes is the nickname for the athletic teams representing Grand Canyon University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lopes
Target entity description: Lopes is the nickname for the athletic teams representing Grand Canyon University.
  • A. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • B. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • C. Milson
    Milson is a residential suburb located in the city of Palmerston North, New Zealand.
  • D. Gomes
    Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
  • E. Santonio
    Santonio is a locality or district within the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • F. None of above. chosen

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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b15149408190ac679d037d87cba7 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b519148190a810d0eee7cda734 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f9b3513481909d6e0856f887d3fa completed March 27, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69c6fa1cb9e881908e030cb70c608a3c completed March 27, 2026, 9:43 p.m.
Created at: March 27, 2026, 2:04 p.m.