Triple

T413522
Position Surface form Disambiguated ID Type / Status
Subject John Sharp E9541 entity
Predicate familyName P18 FINISHED
Object Sharp
Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
 E52476 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: Sharp | Statement: [John Sharp, familyName, Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sharp
Context triple: [John Sharp, familyName, Sharp]
  • A. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • B. Edge
    Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
  • C. Strike
    Strike is a 1925 Soviet silent film directed by Sergei Eisenstein, renowned for its pioneering use of montage and its depiction of a workers’ uprising.
  • D. Sidetic
    Sidetic is an extinct Anatolian language once spoken in the ancient city of Side on the southern coast of modern-day Turkey.
  • E. Kick
    Kick was the affectionate nickname of Kathleen Kennedy Cavendish, the socially prominent and charismatic sister of U.S. President John F. Kennedy.
  • 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: Sharp
Triple: [John Sharp, familyName, Sharp]
Generated description
Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sharp
Target entity description: Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
  • A. Shuar
    Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
  • B. Edge
    Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
  • C. Strike
    Strike is a 1925 Soviet silent film directed by Sergei Eisenstein, renowned for its pioneering use of montage and its depiction of a workers’ uprising.
  • D. Sidetic
    Sidetic is an extinct Anatolian language once spoken in the ancient city of Side on the southern coast of modern-day Turkey.
  • E. Kick
    Kick was the affectionate nickname of Kathleen Kennedy Cavendish, the socially prominent and charismatic sister of U.S. President John F. Kennedy.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdc422881908910428fd1aee7c6 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b4ce1648190b1f46ba33d7cf946 completed March 1, 2026, 10:56 a.m.
NEDg Description generation batch_69a41bc18b388190ae97d97656294e7b completed March 1, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69a422983e708190904cd891d3996338 completed March 1, 2026, 11:27 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.