Triple

T2501653
Position Surface form Disambiguated ID Type / Status
Subject Sharp E52476 entity
Predicate hasNotableBearer P458 FINISHED
Object Richard Sharp
Richard Sharp is a British businessman and former investment banker best known for serving as chairman of the BBC.
E279305 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: Richard Sharp | Statement: [Sharp, hasNotableBearer, Richard Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Sharp
Context triple: [Sharp, hasNotableBearer, Richard Sharp]
  • A. Thomas Parkhurst
    Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
  • B. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • C. William Strickland
    William Strickland was a prominent 19th-century American architect and engineer known for pioneering the Greek Revival style in the United States.
  • D. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • E. Edward Leister
    Edward Leister was an English colonist and passenger on the Mayflower who became one of the signers of the Mayflower Compact in 1620.
  • 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: Richard Sharp
Triple: [Sharp, hasNotableBearer, Richard Sharp]
Generated description
Richard Sharp is a British businessman and former investment banker best known for serving as chairman of the BBC.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Sharp
Target entity description: Richard Sharp is a British businessman and former investment banker best known for serving as chairman of the BBC.
  • A. Thomas Parkhurst
    Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
  • B. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • C. William Strickland
    William Strickland was a prominent 19th-century American architect and engineer known for pioneering the Greek Revival style in the United States.
  • D. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • E. Edward Leister
    Edward Leister was an English colonist and passenger on the Mayflower who became one of the signers of the Mayflower Compact in 1620.
  • 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_69af654aab208190adbc5fb6bd500106 completed March 10, 2026, 12:26 a.m.
NEDg Description generation batch_69af67db8a048190ab9354fdff3f54b6 completed March 10, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69af689f7c4c8190a26270c57da71146 completed March 10, 2026, 12:41 a.m.
Created at: March 6, 2026, 9:46 p.m.