Triple
T8101972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Rhule |
E189134
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Julie Rhule
Julie Rhule is the wife of American football coach Matt Rhule and is known for her involvement in community and charitable activities connected to his coaching career.
|
E711528
|
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: Julie Rhule | Statement: [Matt Rhule, spouse, Julie Rhule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Rhule Context triple: [Matt Rhule, spouse, Julie Rhule]
-
A.
Pattie Mallette
Pattie Mallette is a Canadian author and film producer best known as the mother of pop singer Justin Bieber.
-
B.
Pam Bryant
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
-
C.
Beth Daboll
Beth Daboll is the wife of NFL head coach Brian Daboll and is known for her supportive presence alongside his football career.
-
D.
Lovie Smith
Lovie Smith is an American football coach best known for leading the Chicago Bears to a Super Bowl appearance and for his long tenure as an NFL and college head coach.
-
E.
Tawny Newsome
Tawny Newsome is an American actress, comedian, and musician best known for her comedic roles and voice work, including starring in the animated series Star Trek: Lower Decks.
- 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: Julie Rhule Triple: [Matt Rhule, spouse, Julie Rhule]
Generated description
Julie Rhule is the wife of American football coach Matt Rhule and is known for her involvement in community and charitable activities connected to his coaching career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julie Rhule Target entity description: Julie Rhule is the wife of American football coach Matt Rhule and is known for her involvement in community and charitable activities connected to his coaching career.
-
A.
Pattie Mallette
Pattie Mallette is a Canadian author and film producer best known as the mother of pop singer Justin Bieber.
-
B.
Pam Bryant
Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
-
C.
Beth Daboll
Beth Daboll is the wife of NFL head coach Brian Daboll and is known for her supportive presence alongside his football career.
-
D.
Lovie Smith
Lovie Smith is an American football coach best known for leading the Chicago Bears to a Super Bowl appearance and for his long tenure as an NFL and college head coach.
-
E.
Tawny Newsome
Tawny Newsome is an American actress, comedian, and musician best known for her comedic roles and voice work, including starring in the animated series Star Trek: Lower Decks.
- 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_69cc642095a08190bcf90e6470e127cc |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc68d9032c8190af6c5ff64fe46aff |
completed | April 1, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69f6bb308190a95df95d1a67cfec |
completed | April 1, 2026, 12:42 a.m. |
Created at: March 30, 2026, 5:31 p.m.