Triple

T9331004
Position Surface form Disambiguated ID Type / Status
Subject Flagler College E224520 entity
Predicate hasPresident P112 FINISHED
Object John Delaney
John Delaney is an American attorney and academic administrator best known for serving as president of the University of North Florida and later leading Flagler College.
 E860222 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 Delaney | Statement: [Flagler College, hasPresident, John Delaney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Delaney
Context triple: [Flagler College, hasPresident, John Delaney]
  • A. John M. Keane
    John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
  • B. Joseph McDonnell
    Joseph McDonnell is an individual known primarily under the name Joe McDonnell, likely recognized in public records or media by this shorter form.
  • C. Tom O'Brien
    Tom O'Brien is a media executive and broadcaster best known for his leadership and on-air roles at The Weather Channel.
  • D. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as the psychological thriller "Insomnia" (2002).
  • E. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as "Teaching Mrs. Tingle."
  • 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 Delaney
Triple: [Flagler College, hasPresident, John Delaney]
Generated description
John Delaney is an American attorney and academic administrator best known for serving as president of the University of North Florida and later leading Flagler College.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Delaney
Target entity description: John Delaney is an American attorney and academic administrator best known for serving as president of the University of North Florida and later leading Flagler College.
  • A. John M. Keane
    John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
  • B. Joseph McDonnell
    Joseph McDonnell is an individual known primarily under the name Joe McDonnell, likely recognized in public records or media by this shorter form.
  • C. Tom O'Brien
    Tom O'Brien is a media executive and broadcaster best known for his leadership and on-air roles at The Weather Channel.
  • D. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as the psychological thriller "Insomnia" (2002).
  • E. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as "Teaching Mrs. Tingle."
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ae4fcc81909be75d51e2dc455d completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d7941d893c81909f3b3bcf827e796d completed April 9, 2026, 11:57 a.m.
NEDg Description generation batch_69d7998acbf881909b6f063c4bf2d0a6 completed April 9, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_69d79aa0cc5481908bc14cda8fb6e8b1 completed April 9, 2026, 12:25 p.m.
Created at: March 30, 2026, 7:39 p.m.