Triple

T2501619
Position Surface form Disambiguated ID Type / Status
Subject Sharp E52476 entity
Predicate hasNotableBearer P458 FINISHED
Object Alec Sharp
Alec Sharp is a British actor known for his work in film, television, and theatre.
E272137 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: Alec Sharp | Statement: [Sharp, hasNotableBearer, Alec Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alec Sharp
Context triple: [Sharp, hasNotableBearer, Alec Sharp]
  • A. Alec Ramsey
    Alec Ramsey is the young boy protagonist of Walter Farley’s classic children’s novel series "The Black Stallion," known for his deep bond with a wild Arabian stallion.
  • B. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • C. Alec Radford
    Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
  • D. Alexander Parris
    Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
  • E. Mitchell Sharp
    Mitchell Sharp was a prominent Canadian Liberal politician and statesman who served in several senior cabinet roles and was influential in shaping Canada’s foreign and economic policy in the mid-20th century.
  • 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: Alec Sharp
Triple: [Sharp, hasNotableBearer, Alec Sharp]
Generated description
Alec Sharp is a British actor known for his work in film, television, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alec Sharp
Target entity description: Alec Sharp is a British actor known for his work in film, television, and theatre.
  • A. Alec Ramsey
    Alec Ramsey is the young boy protagonist of Walter Farley’s classic children’s novel series "The Black Stallion," known for his deep bond with a wild Arabian stallion.
  • B. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • C. Alec Radford
    Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
  • D. Alexander Parris
    Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
  • E. Mitchell Sharp
    Mitchell Sharp was a prominent Canadian Liberal politician and statesman who served in several senior cabinet roles and was influential in shaping Canada’s foreign and economic policy in the mid-20th century.
  • 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_69af1fa34dc8819085681d673e45d841 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af2031a64c819080b1c4a3b941d84c completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20bf8e488190ac79327042d47853 completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.