Triple

T8043847
Position Surface form Disambiguated ID Type / Status
Subject Mr and Mrs Clark and Percy E187499 entity
Predicate hasPart P35 FINISHED
Object white cat Percy
White cat Percy is the striking feline featured alongside Mr and Mrs Clark in David Hockney’s famous double-portrait painting.
 E706847 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: white cat Percy | Statement: [Mr and Mrs Clark and Percy, hasPart, white cat Percy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: white cat Percy
Context triple: [Mr and Mrs Clark and Percy, hasPart, white cat Percy]
  • A. Tabby
    Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
  • B. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • C. 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.
  • D. Mr. Mistoffelees
    Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
  • E. Samuel Whiskers
    Samuel Whiskers is a mischievous rat character from Beatrix Potter’s children’s stories, known for his schemes and troublemaking.
  • 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: white cat Percy
Triple: [Mr and Mrs Clark and Percy, hasPart, white cat Percy]
Generated description
White cat Percy is the striking feline featured alongside Mr and Mrs Clark in David Hockney’s famous double-portrait painting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: white cat Percy
Target entity description: White cat Percy is the striking feline featured alongside Mr and Mrs Clark in David Hockney’s famous double-portrait painting.
  • A. Tabby
    Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
  • B. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • C. 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.
  • D. Mr. Mistoffelees
    Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
  • E. Samuel Whiskers
    Samuel Whiskers is a mischievous rat character from Beatrix Potter’s children’s stories, known for his schemes and troublemaking.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4b5e0c819092949af0f995b850 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc570cfad08190a8ed35ef2a47f497 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58acba3c8190b7d09aa23b5f10f8 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cc9161c8190aae90f453f6d98c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:23 p.m.