Triple

T12516275
Position Surface form Disambiguated ID Type / Status
Subject bzip2 E299198 entity
Predicate developer P73 FINISHED
Object Julian Seward
Julian Seward is a British computer programmer best known for creating the bzip2 compression tool and the Valgrind programming debugger.
E986999 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: Julian Seward | Statement: [bzip2, developer, Julian Seward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Seward
Context triple: [bzip2, developer, Julian Seward]
  • A. Gilbert Ledward
    Gilbert Ledward was a prominent British sculptor known for his monumental public works and war memorials in the early to mid-20th century.
  • B. Julian Bannerman
    Julian Bannerman is a British garden designer known for his romantic, theatrical landscapes created in partnership with his wife, Isabel Bannerman.
  • C. Lucian Johnston
    Lucian Johnston is a film editor best known for his work on the acclaimed horror drama "Midsommar."
  • D. Alfred Gaselee
    Alfred Gaselee was a British Indian Army general best known for commanding the international relief force during the 1900 Boxer Rebellion in China.
  • E. Benjamin d’Urban
    Benjamin d’Urban was a 19th-century British army officer and colonial administrator whose name was given to the South African city of Durban.
  • 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: Julian Seward
Triple: [bzip2, developer, Julian Seward]
Generated description
Julian Seward is a British computer programmer best known for creating the bzip2 compression tool and the Valgrind programming debugger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julian Seward
Target entity description: Julian Seward is a British computer programmer best known for creating the bzip2 compression tool and the Valgrind programming debugger.
  • A. Gilbert Ledward
    Gilbert Ledward was a prominent British sculptor known for his monumental public works and war memorials in the early to mid-20th century.
  • B. Julian Bannerman
    Julian Bannerman is a British garden designer known for his romantic, theatrical landscapes created in partnership with his wife, Isabel Bannerman.
  • C. Lucian Johnston
    Lucian Johnston is a film editor best known for his work on the acclaimed horror drama "Midsommar."
  • D. Alfred Gaselee
    Alfred Gaselee was a British Indian Army general best known for commanding the international relief force during the 1900 Boxer Rebellion in China.
  • E. Benjamin d’Urban
    Benjamin d’Urban was a 19th-century British army officer and colonial administrator whose name was given to the South African city of Durban.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce257348190b01179773992d414 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.