Triple

T2501630
Position Surface form Disambiguated ID Type / Status
Subject Sharp E52476 entity
Predicate hasNotableBearer P458 FINISHED
Object Dennis Sharp
Dennis Sharp was a British architect, historian, and critic known for his influential writings on modern architecture and his work in architectural education.
E281528 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: Dennis Sharp | Statement: [Sharp, hasNotableBearer, Dennis Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Sharp
Context triple: [Sharp, hasNotableBearer, Dennis Sharp]
  • A. Denis Barnett
    Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
  • B. Clive Griffin
    Clive Griffin is a British pop and soul singer best known for his 1993 duet "When I Fall in Love" with Celine Dion from the film Sleepless in Seattle.
  • C. Alan Sharp
    Alan Sharp was a Scottish novelist and acclaimed screenwriter known for his complex, character-driven scripts in films such as "The Hired Hand" and "Night Moves."
  • D. Dennis Port
    Dennis Port is a coastal village in the town of Dennis on Cape Cod, Massachusetts, known for its beaches and seaside tourism.
  • E. Gordon Dines
    Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
  • 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: Dennis Sharp
Triple: [Sharp, hasNotableBearer, Dennis Sharp]
Generated description
Dennis Sharp was a British architect, historian, and critic known for his influential writings on modern architecture and his work in architectural education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dennis Sharp
Target entity description: Dennis Sharp was a British architect, historian, and critic known for his influential writings on modern architecture and his work in architectural education.
  • A. Denis Barnett
    Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
  • B. Clive Griffin
    Clive Griffin is a British pop and soul singer best known for his 1993 duet "When I Fall in Love" with Celine Dion from the film Sleepless in Seattle.
  • C. Alan Sharp
    Alan Sharp was a Scottish novelist and acclaimed screenwriter known for his complex, character-driven scripts in films such as "The Hired Hand" and "Night Moves."
  • D. Dennis Port
    Dennis Port is a coastal village in the town of Dennis on Cape Cod, Massachusetts, known for its beaches and seaside tourism.
  • E. Gordon Dines
    Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
  • 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_69af838c9c648190857a6a95dce1c258 completed March 10, 2026, 2:35 a.m.
NEDg Description generation batch_69af84e522f081909fb21df34f83d5ca completed March 10, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69af85584a548190941427880f63f5d4 completed March 10, 2026, 2:43 a.m.
Created at: March 6, 2026, 9:46 p.m.