Triple

T2139811
Position Surface form Disambiguated ID Type / Status
Subject Toy Story 2 E46735 entity
Predicate mainCharacter P1183 FINISHED
Object Bullseye
Bullseye is Woody’s loyal toy horse in the Toy Story franchise, known for his expressive, nonverbal personality and close bond with the other toys.
E237530 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: Bullseye | Statement: [Toy Story 2, mainCharacter, Bullseye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bullseye
Context triple: [Toy Story 2, mainCharacter, Bullseye]
  • A. Bullseye
    Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
  • B. Hardest Shot
    Hardest Shot is a National Hockey League All-Star skills competition event in which players compete to record the fastest slap shot.
  • C. Wild Target
    Wild Target is a 2010 British black comedy film about an aging hitman whose life is upended when he protects a quirky young woman, featuring Emily Blunt in a leading role.
  • D. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • E. Boomerang
    Boomerang is a television network known for airing classic and contemporary animated programming, particularly cartoons from the Warner Bros. and Hanna-Barbera libraries.
  • 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: Bullseye
Triple: [Toy Story 2, mainCharacter, Bullseye]
Generated description
Bullseye is Woody’s loyal toy horse in the Toy Story franchise, known for his expressive, nonverbal personality and close bond with the other toys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bullseye
Target entity description: Bullseye is Woody’s loyal toy horse in the Toy Story franchise, known for his expressive, nonverbal personality and close bond with the other toys.
  • A. Bullseye
    Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
  • B. Hardest Shot
    Hardest Shot is a National Hockey League All-Star skills competition event in which players compete to record the fastest slap shot.
  • C. Wild Target
    Wild Target is a 2010 British black comedy film about an aging hitman whose life is upended when he protects a quirky young woman, featuring Emily Blunt in a leading role.
  • D. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • E. Boomerang
    Boomerang is a television network known for airing classic and contemporary animated programming, particularly cartoons from the Warner Bros. and Hanna-Barbera libraries.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe025d3c81908bcb33a7ff09eae8 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b37ce08190add9df46cc17ba89 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae52e539f081908424c4093c125861 completed March 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69ae5357e1088190bcffccb37030f3fc completed March 9, 2026, 4:58 a.m.
Created at: March 4, 2026, 7:44 p.m.