Triple

T22419696
Position Surface form Disambiguated ID Type / Status
Subject Bo Levi Mitchell E554212 entity
Predicate givenName P17 FINISHED
Object Bo
Bo is the first name of Bo Levi Mitchell, a professional gridiron football quarterback best known for his success in the Canadian Football League.
E1536486 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: Bo | Statement: [Bo Levi Mitchell, givenName, Bo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo
Context triple: [Bo Levi Mitchell, givenName, Bo]
  • A. Bo
    Bo is the second-largest city in Sierra Leone and a major economic and educational center in the country's Southern Province.
  • B. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • C. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • D. Bo
    Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
  • E. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • 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: Bo
Triple: [Bo Levi Mitchell, givenName, Bo]
Generated description
Bo is the first name of Bo Levi Mitchell, a professional gridiron football quarterback best known for his success in the Canadian Football League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bo
Target entity description: Bo is the first name of Bo Levi Mitchell, a professional gridiron football quarterback best known for his success in the Canadian Football League.
  • A. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • B. Bo
    Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
  • C. Bo
    Bo is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • D. Bo
    Bo is the nickname of American actor Bo Hopkins, known for his tough-guy roles in films like "American Graffiti" and "The Wild Bunch."
  • E. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594a58508190b41fd16c8de5f8b4 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0ee77208190b037b3baea224767 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0b08d42f148190a6dafbd6ef40727a completed May 18, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0b09afe1948190bf7bd09e637e9089 completed May 18, 2026, 12:44 p.m.
Created at: April 16, 2026, 8:46 p.m.