Triple

T2647520
Position Surface form Disambiguated ID Type / Status
Subject John Paul Bucyk E53819 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Paul Bucyk, a Hall of Fame Canadian ice hockey player best known for his long career with the Boston Bruins.
E81870 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: John | Statement: [John Paul Bucyk, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Paul Bucyk, givenName, John]
  • A. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • B. John
    John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
  • C. John
    John is the given name of the renowned British mathematician John H. Conway, known for his work in group theory, number theory, and the invention of the Game of Life.
  • D. John
    John is the given name of John Nance Garner, who served as the 32nd vice president of the United States under President Franklin D. Roosevelt.
  • E. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • 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: John
Triple: [John Paul Bucyk, givenName, John]
Generated description
John is the given name of John Paul Bucyk, a Hall of Fame Canadian ice hockey player best known for his long career with the Boston Bruins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Paul Bucyk, a Hall of Fame Canadian ice hockey player best known for his long career with the Boston Bruins.
  • A. John chosen
    John is the given first name of Johnny Bucyk, a Hall of Fame Canadian ice hockey player best known for his long career with the Boston Bruins.
  • B. John
    John is the given name of John McGraw, the famed early 20th-century Major League Baseball manager and Hall of Famer.
  • C. John
    John is the given name of John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
  • D. John
    John is the given name of John Robert Schrieffer, the American physicist and Nobel laureate known for co-developing the BCS theory of superconductivity.
  • E. John
    John is the first name of John W. Henry, the American businessman and principal owner of the Boston Red Sox and Liverpool F.C.
  • F. None of above.

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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd919bf2c81908feb768f3391e985 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b50fa08190abe65b53081cb06b completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af999d0b848190afcd7b27daa024e1 completed March 10, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69af9a48b2588190addeef916b0afef2 completed March 10, 2026, 4:12 a.m.
Created at: March 6, 2026, 9:53 p.m.