Triple

T2501650
Position Surface form Disambiguated ID Type / Status
Subject Sharp E52476 entity
Predicate hasNotableBearer P458 FINISHED
Object Matthew Sharp
Matthew Sharp is a British musician and performer known for his work as a cellist, baritone, and actor across classical, opera, and contemporary music.
 E276700 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: Matthew Sharp | Statement: [Sharp, hasNotableBearer, Matthew Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Sharp
Context triple: [Sharp, hasNotableBearer, Matthew Sharp]
  • A. Anthony Sharp
    Anthony Sharp is a name shared by several notable individuals, including an English actor and a Quaker wool merchant and philanthropist.
  • B. Alec Sharp
    Alec Sharp is a British actor known for his work in film, television, and theatre.
  • C. Luke Rowan
    Luke Rowan is a fictional character from the works of 19th-century English novelist Anthony Trollope.
  • D. Michael Devine
    Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
  • E. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • 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: Matthew Sharp
Triple: [Sharp, hasNotableBearer, Matthew Sharp]
Generated description
Matthew Sharp is a British musician and performer known for his work as a cellist, baritone, and actor across classical, opera, and contemporary music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Sharp
Target entity description: Matthew Sharp is a British musician and performer known for his work as a cellist, baritone, and actor across classical, opera, and contemporary music.
  • A. Anthony Sharp
    Anthony Sharp is a name shared by several notable individuals, including an English actor and a Quaker wool merchant and philanthropist.
  • B. Alec Sharp
    Alec Sharp is a British actor known for his work in film, television, and theatre.
  • C. Luke Rowan
    Luke Rowan is a fictional character from the works of 19th-century English novelist Anthony Trollope.
  • D. Michael Devine
    Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
  • E. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1c9f80c8190b40ada396e184e75 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5ce4dc2c8190a1327794ac1d1b15 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dd89fe48190a99b2bea591818cd completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e8583408190862ba4e13bf81cbd completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:46 p.m.