Triple

T7483821
Position Surface form Disambiguated ID Type / Status
Subject Mighty Med E176828 entity
Predicate hasMainCharacter P1183 FINISHED
Object Gus
Gus is a main character in the Disney XD series "Mighty Med," known as a comedic, somewhat dim-witted teen who helps run a secret superhero hospital with his best friend.
 E673876 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: Gus | Statement: [Mighty Med, hasMainCharacter, Gus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gus
Context triple: [Mighty Med, hasMainCharacter, Gus]
  • A. Gus
    Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
  • B. Gus
    Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
  • C. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • D. Gus
    Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
  • E. Gus
    Gus is the affectionate nickname of Burton "Gus" Guster, the loyal and often cautious best friend and business partner in the TV series "Psych."
  • 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: Gus
Triple: [Mighty Med, hasMainCharacter, Gus]
Generated description
Gus is a main character in the Disney XD series "Mighty Med," known as a comedic, somewhat dim-witted teen who helps run a secret superhero hospital with his best friend.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gus
Target entity description: Gus is a main character in the Disney XD series "Mighty Med," known as a comedic, somewhat dim-witted teen who helps run a secret superhero hospital with his best friend.
  • A. Gus
    Gus is the affectionate nickname of Burton "Gus" Guster, the loyal and often cautious best friend and business partner in the TV series "Psych."
  • B. Gus
    Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
  • C. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • D. Gus
    Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
  • E. Gus
    Gus is the nickname of Virgil "Gus" Grissom, one of NASA's original Mercury Seven astronauts and a pioneering American spacefarer.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f53923e4819081bf79ed962a971c completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856acc3208190985e10c285f41e02 completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c858fc017c8190b30ece88d4d60100 completed March 28, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69c859790e8881908a78449f40d528d8 completed March 28, 2026, 10:43 p.m.
Created at: March 27, 2026, 3:42 p.m.