Triple

T5356517
Position Surface form Disambiguated ID Type / Status
Subject Johnny Whitaker E102704 entity
Predicate notableWork P4 FINISHED
Object Snowball Express
Snowball Express is a 1972 Disney family comedy film about a man who inherits a run-down Colorado ski resort and tries to turn it into a successful business.
 E514200 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: Snowball Express | Statement: [Johnny Whitaker, notableWork, Snowball Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snowball Express
Context triple: [Johnny Whitaker, notableWork, Snowball Express]
  • A. Toboggan Racers
    Toboggan Racers is a high-speed, multi-lane mat racing water slide attraction themed to a snowy downhill race.
  • B. Ice Blast
    Ice Blast is a high-thrill drop tower ride located at the Blackpool Pleasure Beach amusement park in England.
  • C. The Rink
    The Rink is a 1916 silent comedy film directed by and starring Charlie Chaplin, featuring him as a clumsy waiter and roller-skating rink attendant.
  • D. Snowlets
    Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • E. Toyland
    Toyland is the colorful, whimsical fantasy world that serves as the primary setting for Enid Blyton’s Noddy stories, inhabited by living toys and playful characters.
  • 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: Snowball Express
Triple: [Johnny Whitaker, notableWork, Snowball Express]
Generated description
Snowball Express is a 1972 Disney family comedy film about a man who inherits a run-down Colorado ski resort and tries to turn it into a successful business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snowball Express
Target entity description: Snowball Express is a 1972 Disney family comedy film about a man who inherits a run-down Colorado ski resort and tries to turn it into a successful business.
  • A. Toboggan Racers
    Toboggan Racers is a high-speed, multi-lane mat racing water slide attraction themed to a snowy downhill race.
  • B. Ice Blast
    Ice Blast is a high-thrill drop tower ride located at the Blackpool Pleasure Beach amusement park in England.
  • C. The Rink
    The Rink is a 1916 silent comedy film directed by and starring Charlie Chaplin, featuring him as a clumsy waiter and roller-skating rink attendant.
  • D. Snowlets
    Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • E. Toyland
    Toyland is the colorful, whimsical fantasy world that serves as the primary setting for Enid Blyton’s Noddy stories, inhabited by living toys and playful characters.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862f0ea48190bec78690ab3bee51 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e2b7b08190aca4c2855ff041de completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf228956d481909e9f3c11f4597cce completed March 21, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69bf230b571481909f76ada72d94c8d8 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.