Triple

T8101974
Position Surface form Disambiguated ID Type / Status
Subject Matt Rhule E189134 entity
Predicate hasChild P369 FINISHED
Object Vivian Rhule
Vivian Rhule is one of the children of American football coach Matt Rhule.
E712485 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: Vivian Rhule | Statement: [Matt Rhule, hasChild, Vivian Rhule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivian Rhule
Context triple: [Matt Rhule, hasChild, Vivian Rhule]
  • A. Bryant Rhule
    Bryant Rhule is known as the son of American football coach Matt Rhule.
  • B. Gene Chizik
    Gene Chizik is an American football coach best known for leading Auburn University to the 2010 BCS National Championship.
  • C. Leon Dabo
    Leon Dabo was an American painter best known for his atmospheric, subtly colored landscapes and cityscapes that exemplify the Tonalist movement in the late 19th and early 20th centuries.
  • D. Mike McDaniel
    Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
  • E. Mel Rodriguez
    Mel Rodriguez is an American actor known for his character roles in film and television, including voice work in animated features.
  • 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: Vivian Rhule
Triple: [Matt Rhule, hasChild, Vivian Rhule]
Generated description
Vivian Rhule is one of the children of American football coach Matt Rhule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vivian Rhule
Target entity description: Vivian Rhule is one of the children of American football coach Matt Rhule.
  • A. Bryant Rhule
    Bryant Rhule is known as the son of American football coach Matt Rhule.
  • B. Gene Chizik
    Gene Chizik is an American football coach best known for leading Auburn University to the 2010 BCS National Championship.
  • C. Leon Dabo
    Leon Dabo was an American painter best known for his atmospheric, subtly colored landscapes and cityscapes that exemplify the Tonalist movement in the late 19th and early 20th centuries.
  • D. Mike McDaniel
    Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
  • E. Mel Rodriguez
    Mel Rodriguez is an American actor known for his character roles in film and television, including voice work in animated features.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bbf20c8190aa8c272b5c39002d completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc941075588190a9b12e2f873ba2a5 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc969e0ecc8190973658542d1406bc completed April 1, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69cc9771b6e48190bd5f45c3f8853890 completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:31 p.m.