Triple

T14607339
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Northern Michigan E342865 entity
Predicate officeHolders P9949 FINISHED
Object James Kelsey
James Kelsey was an American Episcopal bishop who led the Diocese of Northern Michigan until his death in 2007.
E1173982 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: James Kelsey | Statement: [Bishop of Northern Michigan, officeHolders, James Kelsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Kelsey
Context triple: [Bishop of Northern Michigan, officeHolders, James Kelsey]
  • A. Thomas A. Muldoon
    Thomas A. Muldoon is a film editor known for his work on the action-comedy movie "Pain & Gain."
  • B. George Douglas
    George Douglas was a pseudonym used by American jazz record producer and songwriter Bob Thiele, under which he co-wrote notable songs including "What a Wonderful World."
  • C. George Douglas
    George Douglas was a member of the Scottish aristocratic Douglas family and the son of James Douglas, 3rd Marquess of Queensberry.
  • D. James K. Knowles
    James K. Knowles is a distinguished American applied mathematician and mechanician recognized for his influential contributions to solid mechanics and elasticity theory.
  • E. James Acheson
    James Acheson is an acclaimed British costume designer best known for his Oscar-winning work on films such as "The Last Emperor" and "Dangerous Liaisons."
  • 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: James Kelsey
Triple: [Bishop of Northern Michigan, officeHolders, James Kelsey]
Generated description
James Kelsey was an American Episcopal bishop who led the Diocese of Northern Michigan until his death in 2007.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Kelsey
Target entity description: James Kelsey was an American Episcopal bishop who led the Diocese of Northern Michigan until his death in 2007.
  • A. Thomas A. Muldoon
    Thomas A. Muldoon is a film editor known for his work on the action-comedy movie "Pain & Gain."
  • B. George Douglas
    George Douglas was a pseudonym used by American jazz record producer and songwriter Bob Thiele, under which he co-wrote notable songs including "What a Wonderful World."
  • C. George Douglas
    George Douglas was a member of the Scottish aristocratic Douglas family and the son of James Douglas, 3rd Marquess of Queensberry.
  • D. James K. Knowles
    James K. Knowles is a distinguished American applied mathematician and mechanician recognized for his influential contributions to solid mechanics and elasticity theory.
  • E. James Acheson
    James Acheson is an acclaimed British costume designer best known for his Oscar-winning work on films such as "The Last Emperor" and "Dangerous Liaisons."
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dfbc28819090cf56f16b5e7c39 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83d929a48190aea75597b864d210 completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 1:25 a.m.