Triple

T22357031
Position Surface form Disambiguated ID Type / Status
Subject Calvin E552679 entity
Predicate hasNotableBearer P458 FINISHED
Object Tom Calvin
Tom Calvin is a relatively obscure individual known primarily for sharing the surname Calvin rather than for widely recognized public achievements.
E1532969 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: Tom Calvin | Statement: [Calvin, hasNotableBearer, Tom Calvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Calvin
Context triple: [Calvin, hasNotableBearer, Tom Calvin]
  • A. Robert Calhoun
    Robert Calhoun was an American television producer and director best known for his long-term personal and professional partnership with actor Farley Granger.
  • B. Calvin Ellis
    Calvin Ellis is an alternate-universe version of Superman from DC Comics, known as the Kryptonian hero who also serves as President of the United States on Earth-23.
  • C. Ian Caldwell
    Ian Caldwell is an American novelist best known for co-authoring the bestselling historical thriller "The Rule of Four."
  • D. Kirk Caldwell
    Kirk Caldwell is an American politician and attorney who served as the Mayor of Honolulu, Hawaii.
  • E. Calvin Lockhart
    Calvin Lockhart was a Bahamian-American actor known for his charismatic screen presence and prominent roles in 1960s and 1970s films, particularly in the blaxploitation genre.
  • 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: Tom Calvin
Triple: [Calvin, hasNotableBearer, Tom Calvin]
Generated description
Tom Calvin is a relatively obscure individual known primarily for sharing the surname Calvin rather than for widely recognized public achievements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Calvin
Target entity description: Tom Calvin is a relatively obscure individual known primarily for sharing the surname Calvin rather than for widely recognized public achievements.
  • A. Robert Calhoun
    Robert Calhoun was an American television producer and director best known for his long-term personal and professional partnership with actor Farley Granger.
  • B. Calvin Ellis
    Calvin Ellis is an alternate-universe version of Superman from DC Comics, known as the Kryptonian hero who also serves as President of the United States on Earth-23.
  • C. Ian Caldwell
    Ian Caldwell is an American novelist best known for co-authoring the bestselling historical thriller "The Rule of Four."
  • D. Kirk Caldwell
    Kirk Caldwell is an American politician and attorney who served as the Mayor of Honolulu, Hawaii.
  • E. Calvin Lockhart
    Calvin Lockhart was a Bahamian-American actor known for his charismatic screen presence and prominent roles in 1960s and 1970s films, particularly in the blaxploitation genre.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d08b148190a9a4e445e8579219 completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae05fed7c81909e1ff743ef607d42 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1d85d08819090fedead132fdd28 completed May 18, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae27a0cd88190aa869980829625a4 completed May 18, 2026, 9:57 a.m.
Created at: April 16, 2026, 8:44 p.m.