Triple

T7951827
Position Surface form Disambiguated ID Type / Status
Subject Simeon Career Academy E184631 entity
Predicate hasMascot P52 FINISHED
Object Wolverines
Wolverines is the mascot representing Simeon Career Academy’s athletic teams and school spirit.
 E705076 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: Wolverines | Statement: [Simeon Career Academy, hasMascot, Wolverines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolverines
Context triple: [Simeon Career Academy, hasMascot, Wolverines]
  • A. Wolverines
    Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
  • B. Wolverines
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • C. Wolverines
    Wolverines is the athletics nickname for the sports teams representing Morris Brown College.
  • D. Panther
    Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
  • E. Panther
    The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
  • 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: Wolverines
Triple: [Simeon Career Academy, hasMascot, Wolverines]
Generated description
Wolverines is the mascot representing Simeon Career Academy’s athletic teams and school spirit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolverines
Target entity description: Wolverines is the mascot representing Simeon Career Academy’s athletic teams and school spirit.
  • A. Wolverines
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • B. Wolverines
    Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
  • C. Wolverines
    Wolverines is the athletics nickname for the sports teams representing Morris Brown College.
  • D. Panther
    Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
  • E. Panther
    The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0530b8881908e35b10917e69899 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:10 p.m.