Triple

T15059758
Position Surface form Disambiguated ID Type / Status
Subject Winston Wolfe E379593 entity
Predicate fullName P16 FINISHED
Object Winston Wolfe
Winston Wolfe is a cool-headed, efficient "fixer" character from Quentin Tarantino's film Pulp Fiction, known for solving criminals' problems with brisk professionalism.
 E1135921 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: Winston Wolfe | Statement: [Winston Wolfe, fullName, Winston Wolfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Winston Wolfe
Context triple: [Winston Wolfe, fullName, Winston Wolfe]
  • A. Reyner Wolfe
    Reyner Wolfe was a 16th-century London printer and publisher known for employing chronicler Raphael Holinshed and for his role in early English historical and scholarly printing.
  • B. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • C. Winston Roy Followill
    Winston Roy Followill is the son of American model Lily Aldridge and Kings of Leon frontman Caleb Followill.
  • D. Ben Richards
    Ben Richards is a British television writer and novelist known for creating and scripting several acclaimed drama series.
  • E. Vas Blackwood
    Vas Blackwood is a British actor best known for his tough-guy roles in film and television, including notable appearances in British crime comedies and dramas.
  • 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: Winston Wolfe
Triple: [Winston Wolfe, fullName, Winston Wolfe]
Generated description
Winston Wolfe is a cool-headed, efficient "fixer" character from Quentin Tarantino's film Pulp Fiction, known for solving criminals' problems with brisk professionalism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Winston Wolfe
Target entity description: Winston Wolfe is a cool-headed, efficient "fixer" character from Quentin Tarantino's film Pulp Fiction, known for solving criminals' problems with brisk professionalism.
  • A. Reyner Wolfe
    Reyner Wolfe was a 16th-century London printer and publisher known for employing chronicler Raphael Holinshed and for his role in early English historical and scholarly printing.
  • B. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • C. Winston Roy Followill
    Winston Roy Followill is the son of American model Lily Aldridge and Kings of Leon frontman Caleb Followill.
  • D. Ben Richards
    Ben Richards is a British television writer and novelist known for creating and scripting several acclaimed drama series.
  • E. Vas Blackwood
    Vas Blackwood is a British actor best known for his tough-guy roles in film and television, including notable appearances in British crime comedies and dramas.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c2fcec8190800d1bda82c7352e completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea9c0ad748190989920efe418001c completed May 9, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69feaa2fbafc8190b592d89b07b49765 completed May 9, 2026, 3:29 a.m.
Created at: April 10, 2026, 3:01 a.m.