Triple

T6377050
Position Surface form Disambiguated ID Type / Status
Subject Bevan E143491 entity
Predicate hasNotableBearer P458 FINISHED
Object Anthony Bevan
Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
 E598791 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: Anthony Bevan | Statement: [Bevan, hasNotableBearer, Anthony Bevan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anthony Bevan
Context triple: [Bevan, hasNotableBearer, Anthony Bevan]
  • A. John Brabourne
    John Brabourne was a British film and television producer, known for his adaptations of classic literature and for being the son-in-law of Lord Mountbatten.
  • B. Ben Durrant
    Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
  • C. Anthony Darwin
    Anthony Darwin is the son of British former prison officer John Darwin, who became widely known for his role in the infamous "canoe man" faked-death insurance fraud case.
  • D. Bernard Hart
    Bernard Hart was an early American financier and broker known for being among the original founders of what became the New York Stock Exchange.
  • E. Murray Firth
    The Moray Firth is a large triangular inlet of the North Sea on the northeast coast of Scotland, known for its rich marine wildlife and coastal landscapes.
  • 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: Anthony Bevan
Triple: [Bevan, hasNotableBearer, Anthony Bevan]
Generated description
Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anthony Bevan
Target entity description: Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
  • A. John Brabourne
    John Brabourne was a British film and television producer, known for his adaptations of classic literature and for being the son-in-law of Lord Mountbatten.
  • B. Ben Durrant
    Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
  • C. Anthony Darwin
    Anthony Darwin is the son of British former prison officer John Darwin, who became widely known for his role in the infamous "canoe man" faked-death insurance fraud case.
  • D. Bernard Hart
    Bernard Hart was an early American financier and broker known for being among the original founders of what became the New York Stock Exchange.
  • E. Murray Firth
    The Moray Firth is a large triangular inlet of the North Sea on the northeast coast of Scotland, known for its rich marine wildlife and coastal landscapes.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683d7af881908d66d5230e1bfcb6 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c685748e808190a540d9f99cd58a8a completed March 27, 2026, 1:26 p.m.
NEDg Description generation batch_69c6994dafac819097586bd23aee35c4 completed March 27, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69c6ac08698c8190b8a0a9625492353b completed March 27, 2026, 4:10 p.m.
Created at: March 22, 2026, 4:33 p.m.