Triple

T3013715
Position Surface form Disambiguated ID Type / Status
Subject Sidney Wicks E82282 entity
Predicate familyName P18 FINISHED
Object Wicks
Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
 E318646 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: Wicks | Statement: [Sidney Wicks, familyName, Wicks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wicks
Context triple: [Sidney Wicks, familyName, Wicks]
  • A. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • B. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • C. Hicks
    Hicks is a common English surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • D. Wight and Wight
    Wight and Wight was a prominent early-20th-century American architectural firm based in Kansas City, known for its monumental Neoclassical and Art Deco public buildings.
  • E. Lampwick
    Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
  • 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: Wicks
Triple: [Sidney Wicks, familyName, Wicks]
Generated description
Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wicks
Target entity description: Wicks is a surname most notably associated with former professional basketball player Sidney Wicks.
  • A. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • B. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • C. Hicks
    Hicks is a common English surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • D. Wight and Wight
    Wight and Wight was a prominent early-20th-century American architectural firm based in Kansas City, known for its monumental Neoclassical and Art Deco public buildings.
  • E. Lampwick
    Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a6883c081909b6b74f078e347b7 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e67e2f88190aa7046e93f3e4126 completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12f07ec088190a63e30f8a1f7937a completed March 11, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69b1cb6571388190970bae846bfc57a2 completed March 11, 2026, 8:07 p.m.
Created at: March 8, 2026, 3 p.m.