Triple

T12886746
Position Surface form Disambiguated ID Type / Status
Subject Wilkie Collins E308245 entity
Predicate givenName P17 FINISHED
Object Wilkie
Wilkie is a given name most famously associated with Victorian English novelist Wilkie Collins, a pioneer of detective and sensation fiction.
E1008744 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: Wilkie | Statement: [Wilkie Collins, givenName, Wilkie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilkie
Context triple: [Wilkie Collins, givenName, Wilkie]
  • A. Wilkie Cooper
    Wilkie Cooper was a British cinematographer known for his work on mid-20th-century films, particularly in the thriller and fantasy genres.
  • B. Hughie Warriner
    Hughie Warriner is a fictional character from the 1989 thriller film "Dead Calm," portrayed as a disturbed and manipulative survivor encountered at sea.
  • C. Grahame
    Grahame is a surname of English and Scottish origin borne by various notable individuals.
  • D. Hughie
    Hughie is a diminutive or affectionate form of the given name Hugh, often used as a nickname.
  • E. Mr Gillie
    Mr Gillie is a stage play by Scottish dramatist James Bridie that explores moral responsibility and the consequences of idealism through the story of a well-meaning schoolteacher.
  • 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: Wilkie
Triple: [Wilkie Collins, givenName, Wilkie]
Generated description
Wilkie is a given name most famously associated with Victorian English novelist Wilkie Collins, a pioneer of detective and sensation fiction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilkie
Target entity description: Wilkie is a given name most famously associated with Victorian English novelist Wilkie Collins, a pioneer of detective and sensation fiction.
  • A. Wilkie Cooper
    Wilkie Cooper was a British cinematographer known for his work on mid-20th-century films, particularly in the thriller and fantasy genres.
  • B. Hughie Warriner
    Hughie Warriner is a fictional character from the 1989 thriller film "Dead Calm," portrayed as a disturbed and manipulative survivor encountered at sea.
  • C. Grahame
    Grahame is a surname of English and Scottish origin borne by various notable individuals.
  • D. Hughie
    Hughie is a diminutive or affectionate form of the given name Hugh, often used as a nickname.
  • E. Mr Gillie
    Mr Gillie is a stage play by Scottish dramatist James Bridie that explores moral responsibility and the consequences of idealism through the story of a well-meaning schoolteacher.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714415c08190aa9944b494a3ddad completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5576ae4819084914697b2e86d9f completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a641d1988190b9af41c8c7ca599e completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a77ba20081908f72f46f64382fca completed May 3, 2026, 1:40 a.m.
Created at: April 9, 2026, 5:39 p.m.