Triple

T13439226
Position Surface form Disambiguated ID Type / Status
Subject Stuart Little E320309 entity
Predicate hasPet P8711 FINISHED
Object Snowbell the cat
Snowbell the cat is the sardonic, initially antagonistic but ultimately loyal feline companion from the "Stuart Little" children's books and films.
 E1040469 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: Snowbell the cat | Statement: [Stuart Little, hasPet, Snowbell the cat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snowbell the cat
Context triple: [Stuart Little, hasPet, Snowbell the cat]
  • A. Simpkin the cat
    Simpkin the cat is the mischievous feline companion in Beatrix Potter’s children’s story "The Tailor of Gloucester," known for his role in the tailor’s near-misfortune and eventual redemption.
  • B. Newton the cat
    Newton the cat is a recurring feline character in Satyajit Ray’s Bengali science-fiction Professor Shonku stories, often accompanying the eccentric scientist on his adventures.
  • C. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • D. Kitty
    "Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
  • E. Kitty
    Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
  • 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: Snowbell the cat
Triple: [Stuart Little, hasPet, Snowbell the cat]
Generated description
Snowbell the cat is the sardonic, initially antagonistic but ultimately loyal feline companion from the "Stuart Little" children's books and films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snowbell the cat
Target entity description: Snowbell the cat is the sardonic, initially antagonistic but ultimately loyal feline companion from the "Stuart Little" children's books and films.
  • A. Simpkin the cat
    Simpkin the cat is the mischievous feline companion in Beatrix Potter’s children’s story "The Tailor of Gloucester," known for his role in the tailor’s near-misfortune and eventual redemption.
  • B. Newton the cat
    Newton the cat is a recurring feline character in Satyajit Ray’s Bengali science-fiction Professor Shonku stories, often accompanying the eccentric scientist on his adventures.
  • C. Kitty
    Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
  • D. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • E. Kitty
    "Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399215bc8190b846906b0f081e7f completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73bd79b8c8190bf91865e22bd41d0 completed May 3, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_69f73c45b0748190ab9b1b524d206c0d completed May 3, 2026, 12:15 p.m.
Created at: April 9, 2026, 9:40 p.m.