Triple

T20661314
Position Surface form Disambiguated ID Type / Status
Subject Cujo E507765 entity
Predicate hasMainCharacter P1183 FINISHED
Object Cujo (dog)
Cujo (dog) is the rabid Saint Bernard and terrifying title character of Stephen King’s horror novel "Cujo."
 E1443642 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: Cujo (dog) | Statement: [Cujo, hasMainCharacter, Cujo (dog)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cujo (dog)
Context triple: [Cujo, hasMainCharacter, Cujo (dog)]
  • A. Beasley the Dog
    Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
  • B. Gumbo the Dog
    Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
  • C. Hector the Bulldog
    Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
  • D. Duke Dog
    Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
  • E. Pooch
    Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
  • 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: Cujo (dog)
Triple: [Cujo, hasMainCharacter, Cujo (dog)]
Generated description
Cujo (dog) is the rabid Saint Bernard and terrifying title character of Stephen King’s horror novel "Cujo."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cujo (dog)
Target entity description: Cujo (dog) is the rabid Saint Bernard and terrifying title character of Stephen King’s horror novel "Cujo."
  • A. Beasley the Dog
    Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
  • B. Gumbo the Dog
    Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
  • C. Hector the Bulldog
    Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
  • D. Duke Dog
    Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
  • E. Pooch
    Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f16adc8190b2b9a69586fa7444 completed April 20, 2026, 11:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd5afe5081909e20b796dd9f0908 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175206c8190b119bb1a2d06462f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d28e02fc8190ab694673156ab0c0 completed May 16, 2026, 8:24 p.m.
Created at: April 16, 2026, 11:44 a.m.