Triple

T10072136
Position Surface form Disambiguated ID Type / Status
Subject Max Beesley E213654 entity
Predicate familyName P18 FINISHED
Object Beesley
Beesley is an English surname borne by various notable individuals, including actors and public figures.
 E839399 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: Beesley | Statement: [Max Beesley, familyName, Beesley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beesley
Context triple: [Max Beesley, familyName, Beesley]
  • A. 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.
  • B. Lesnie
    Lesnie is the surname of Andrew Lesnie, the Academy Award–winning Australian cinematographer best known for his work on The Lord of the Rings film trilogy.
  • C. Elspie
    Elspie is a feminine given name, typically considered a Scottish or diminutive variant of the name Elsie.
  • D. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • E. Beaty
    Beaty is a surname and given name of English and Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • 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: Beesley
Triple: [Max Beesley, familyName, Beesley]
Generated description
Beesley is an English surname borne by various notable individuals, including actors and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beesley
Target entity description: Beesley is an English surname borne by various notable individuals, including actors and public figures.
  • A. 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.
  • B. Lesnie
    Lesnie is the surname of Andrew Lesnie, the Academy Award–winning Australian cinematographer best known for his work on The Lord of the Rings film trilogy.
  • C. Elspie
    Elspie is a feminine given name, typically considered a Scottish or diminutive variant of the name Elsie.
  • D. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • E. Beaty
    Beaty is a surname and given name of English and Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd013c9d0819091ebe6fc399832de completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29e8617c08190bf4fb02ac40caba3 completed April 5, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d29f20b2f48190906d7e53fb1e5544 completed April 5, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:59 p.m.