Triple

T19266531
Position Surface form Disambiguated ID Type / Status
Subject Harvey Mudd College E481793 entity
Predicate mascot P52 FINISHED
Object Wally the Wart
Wally the Wart is the cartoonish, anthropomorphic wart mascot representing Harvey Mudd College and its quirky, STEM-focused campus culture.
 E1368427 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: Wally the Wart | Statement: [Harvey Mudd College, mascot, Wally the Wart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wally the Wart
Context triple: [Harvey Mudd College, mascot, Wally the Wart]
  • A. Wally the Walnut
    Wally the Walnut is the costumed walnut character who serves as the primary mascot for the Modesto Nuts minor league baseball team.
  • B. Wiarton Willie
    Wiarton Willie is a famous Canadian groundhog celebrated for his annual Groundhog Day weather prediction festival in Wiarton, Ontario.
  • C. Wally
    Wally is a character featured in the educational children's series "Alphabetical Order," likely serving as a playful figure to help teach letters and literacy concepts.
  • D. Wally
    Wally is a common English diminutive given name, typically derived from names like Walter or Waldemar.
  • E. Wally
    Wally is a character from the comedy film "The Great Outdoors," known for his role in the movie’s humorous family vacation mishaps.
  • 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: Wally the Wart
Triple: [Harvey Mudd College, mascot, Wally the Wart]
Generated description
Wally the Wart is the cartoonish, anthropomorphic wart mascot representing Harvey Mudd College and its quirky, STEM-focused campus culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wally the Wart
Target entity description: Wally the Wart is the cartoonish, anthropomorphic wart mascot representing Harvey Mudd College and its quirky, STEM-focused campus culture.
  • A. Wally the Walnut
    Wally the Walnut is the costumed walnut character who serves as the primary mascot for the Modesto Nuts minor league baseball team.
  • B. Wiarton Willie
    Wiarton Willie is a famous Canadian groundhog celebrated for his annual Groundhog Day weather prediction festival in Wiarton, Ontario.
  • C. Wally
    Wally is a character from the comedy film "The Great Outdoors," known for his role in the movie’s humorous family vacation mishaps.
  • D. Wally
    Wally is a character featured in the educational children's series "Alphabetical Order," likely serving as a playful figure to help teach letters and literacy concepts.
  • E. Wally
    Wally is a common English diminutive given name, typically derived from names like Walter or Waldemar.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e6ec97c81909944d41943b94b34 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070fc891448190a5061c0d340548d5 completed May 15, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0710836b608190a89900ba3f6916bb completed May 15, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:29 p.m.