Triple

T7974209
Position Surface form Disambiguated ID Type / Status
Subject Champ Bailey E185401 entity
Predicate relative P37 FINISHED
Object Ronald Bailey
Ronald Bailey is a family member of Pro Football Hall of Fame cornerback Champ Bailey.
E722395 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: Ronald Bailey | Statement: [Champ Bailey, relative, Ronald Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Bailey
Context triple: [Champ Bailey, relative, Ronald Bailey]
  • A. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • B. Don Cockell
    Don Cockell was a British heavyweight boxer of the 1940s and 1950s who challenged Rocky Marciano for the world heavyweight title.
  • C. Graham Rogers
    Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
  • D. Alan Milburn
    Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
  • E. Ronald Norrish
    Ronald Norrish was a British physical chemist and Nobel laureate renowned for his pioneering work in chemical kinetics and photochemistry.
  • 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: Ronald Bailey
Triple: [Champ Bailey, relative, Ronald Bailey]
Generated description
Ronald Bailey is a family member of Pro Football Hall of Fame cornerback Champ Bailey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ronald Bailey
Target entity description: Ronald Bailey is a family member of Pro Football Hall of Fame cornerback Champ Bailey.
  • A. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • B. Don Cockell
    Don Cockell was a British heavyweight boxer of the 1940s and 1950s who challenged Rocky Marciano for the world heavyweight title.
  • C. Graham Rogers
    Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
  • D. Alan Milburn
    Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
  • E. Ronald Norrish
    Ronald Norrish was a British physical chemist and Nobel laureate renowned for his pioneering work in chemical kinetics and photochemistry.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd672cb3288190af4f951e65e8d67e completed April 1, 2026, 6:42 p.m.
NEDg Description generation batch_69cd6c1f75748190b119acd0d92f2ef9 completed April 1, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cd7da4f3a0819080eed3d03c293789 completed April 1, 2026, 8:18 p.m.
Created at: March 30, 2026, 5:14 p.m.