Triple

T15850616
Position Surface form Disambiguated ID Type / Status
Subject Utsunomiya Brex E384325 entity
Predicate hasMascot P52 FINISHED
Object Brexy
Brexy is the official mascot character of the Japanese professional basketball team Utsunomiya Brex.
 E1179339 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: Brexy | Statement: [Utsunomiya Brex, hasMascot, Brexy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brexy
Context triple: [Utsunomiya Brex, hasMascot, Brexy]
  • A. Suxy
    Suxy is a small village and sub-municipality located in the Walloon region of southern Belgium.
  • B. Xoxo
    Xoxo is likely a segment, track, or component of the creative work "Laughing Matter," such as a song on an album or a chapter in a larger artistic project.
  • C. Trixter
    Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
  • D. Dreezy
    Dreezy is an American rapper and singer from Chicago known for her sharp lyricism and contributions to the city's contemporary hip-hop scene.
  • E. Bre-Z
    Bre-Z is an American actress and rapper best known for her role as Tamia "Coop" Cooper on the television series *All American*.
  • 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: Brexy
Triple: [Utsunomiya Brex, hasMascot, Brexy]
Generated description
Brexy is the official mascot character of the Japanese professional basketball team Utsunomiya Brex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brexy
Target entity description: Brexy is the official mascot character of the Japanese professional basketball team Utsunomiya Brex.
  • A. Suxy
    Suxy is a small village and sub-municipality located in the Walloon region of southern Belgium.
  • B. Xoxo
    Xoxo is likely a segment, track, or component of the creative work "Laughing Matter," such as a song on an album or a chapter in a larger artistic project.
  • C. Trixter
    Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
  • D. Dreezy
    Dreezy is an American rapper and singer from Chicago known for her sharp lyricism and contributions to the city's contemporary hip-hop scene.
  • E. Bre-Z
    Bre-Z is an American actress and rapper best known for her role as Tamia "Coop" Cooper on the television series *All American*.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cab0fe48190bd6629e071761e91 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41a86ec8190b46d541965ecf26e completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa496f3e48190b8dc82bece548aec completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.