Triple

T8157326
Position Surface form Disambiguated ID Type / Status
Subject Alan Bates E190481 entity
Predicate notableWork P4 FINISHED
Object Butley
Butley is a 1971 stage play by Simon Gray, best known through Alan Bates’s acclaimed portrayal of its bitter, self-destructive university lecturer protagonist.
E717139 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: Butley | Statement: [Alan Bates, notableWork, Butley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butley
Context triple: [Alan Bates, notableWork, Butley]
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • C. Polton
    Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
  • D. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • E. Keeble
    Keeble is a fictional aristocratic surname most notably associated with Lady Constance Keeble in P. G. Wodehouse’s Blandings Castle stories.
  • 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: Butley
Triple: [Alan Bates, notableWork, Butley]
Generated description
Butley is a 1971 stage play by Simon Gray, best known through Alan Bates’s acclaimed portrayal of its bitter, self-destructive university lecturer protagonist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Butley
Target entity description: Butley is a 1971 stage play by Simon Gray, best known through Alan Bates’s acclaimed portrayal of its bitter, self-destructive university lecturer protagonist.
  • A. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • B. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • C. Polton
    Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
  • D. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • E. Keeble
    Keeble is a fictional aristocratic surname most notably associated with Lady Constance Keeble in P. G. Wodehouse’s Blandings Castle stories.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44da14a481909f8d3277762b0e75 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc37113108190901b02fae92764cf completed April 1, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_69ccd81bebf8819081b3c4efa5a9ef93 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.