Triple

T18538103
Position Surface form Disambiguated ID Type / Status
Subject Wonder Park E453017 entity
Predicate mainCharacter P1183 FINISHED
Object Gus
Gus is one of the central child protagonists in the animated film "Wonder Park," known for helping bring a fantastical amusement park to life.
E1329484 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: [Wonder Park, mainCharacter, Gus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gus
Context triple: [Wonder Park, mainCharacter, 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 the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • C. Gus
    Gus is the nickname of Virgil "Gus" Grissom, one of NASA's original Mercury Seven astronauts and a pioneering American spacefarer.
  • D. Gus
    Gus is a 1976 Disney sports comedy film about a football team that gains an unlikely advantage from a field-goal-kicking mule.
  • E. Gus
    Gus is one of the two hitmen at the center of Harold Pinter’s play "The Dumb Waiter," known for his anxious, questioning nature and tense exchanges in the basement setting.
  • 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: [Wonder Park, mainCharacter, Gus]
Generated description
Gus is one of the central child protagonists in the animated film "Wonder Park," known for helping bring a fantastical amusement park to life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gus
Target entity description: Gus is one of the central child protagonists in the animated film "Wonder Park," known for helping bring a fantastical amusement park to life.
  • 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 the lonely but gentle gray cloud in Pixar’s short film "Partly Cloudy," known for creating dangerous baby animals for his stork partner to deliver.
  • C. 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.
  • D. Gus
    Gus is a 1976 Disney sports comedy film about a football team that gains an unlikely advantage from a field-goal-kicking mule.
  • E. Gus
    Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534030bd88190b25b95305a12a0c1 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04917f770c8190b25da102a3368828 completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a0493595bec8190b92e737effb91f54 completed May 13, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_6a04941c17988190b38bfce00fedbeca completed May 13, 2026, 3:09 p.m.
Created at: April 10, 2026, 11:37 a.m.