Triple

T15742096
Position Surface form Disambiguated ID Type / Status
Subject Michael Ramsey E381625 entity
Predicate givenName P17 FINISHED
Object Arthur
Arthur is the given first name of Michael Ramsey, the 100th Archbishop of Canterbury and a prominent 20th-century Anglican church leader.
 E1174982 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: Arthur | Statement: [Michael Ramsey, givenName, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arthur
Context triple: [Michael Ramsey, givenName, Arthur]
  • A. Arthur
    Arthur is a long-running animated children's television series that follows the everyday adventures and life lessons of Arthur Read, an anthropomorphic aardvark, and his friends and family.
  • B. Arthur
    Arthur is the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
  • C. Arthur
    Arthur is the given first name of the influential British computer scientist Robin Milner, known for his work in programming language theory and process calculi.
  • D. Arthur
    Arthur is the given name of Arthur J. Ornitz, an American cinematographer known for his work on several notable films in the mid-20th century.
  • E. Arthur
    Arthur is the first name of American professional golfer Art Wall Jr., best known for winning the 1959 Masters Tournament.
  • 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: Arthur
Triple: [Michael Ramsey, givenName, Arthur]
Generated description
Arthur is the given first name of Michael Ramsey, the 100th Archbishop of Canterbury and a prominent 20th-century Anglican church leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arthur
Target entity description: Arthur is the given first name of Michael Ramsey, the 100th Archbishop of Canterbury and a prominent 20th-century Anglican church leader.
  • A. Arthur
    Arthur is the given first name of British politician Christopher Soames, a prominent mid-20th-century Conservative statesman and diplomat.
  • B. Arthur
    Arthur is the given first name of the influential British computer scientist Robin Milner, known for his work in programming language theory and process calculi.
  • C. Arthur
    Arthur is the given first name of the renowned English actor and director John Gielgud.
  • D. Arthur
    Arthur is the given first name of the acclaimed Canadian actor Christopher Plummer, known for his distinguished career in film, television, and theatre.
  • E. Arthur
    Arthur is the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd97d6c8190b2fa6ca422bfe512 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876b7fd081909d84ebe7a4cdb675 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8827e5e0819084e12bfd546ed215 completed May 9, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff88cfbe388190b20c426b4c745f92 completed May 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 4:46 a.m.