Triple
T1564553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geno Auriemma |
E33401
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Auriemma
Michael Auriemma is one of the children of legendary University of Connecticut women's basketball coach Geno Auriemma.
|
E177677
|
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: Michael Auriemma | Statement: [Geno Auriemma, hasChild, Michael Auriemma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Auriemma Context triple: [Geno Auriemma, hasChild, Michael Auriemma]
-
A.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
B.
Pat Quinn
Pat Quinn was a highly respected Canadian NHL coach and executive known for leading multiple teams to deep playoff runs and coaching Team Canada to international success.
-
C.
Mike Dunleavy
Mike Dunleavy is an American Republican politician and former educator who serves as the governor of Alaska.
-
D.
Patrick Brown
Patrick Brown is a Canadian politician who has served as the mayor of Brampton, Ontario.
-
E.
Sy Bartlett
Sy Bartlett was an American screenwriter and film producer best known for co-writing and producing the World War II drama "Twelve O'Clock High."
- 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: Michael Auriemma Triple: [Geno Auriemma, hasChild, Michael Auriemma]
Generated description
Michael Auriemma is one of the children of legendary University of Connecticut women's basketball coach Geno Auriemma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Auriemma Target entity description: Michael Auriemma is one of the children of legendary University of Connecticut women's basketball coach Geno Auriemma.
-
A.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
B.
Pat Quinn
Pat Quinn was a highly respected Canadian NHL coach and executive known for leading multiple teams to deep playoff runs and coaching Team Canada to international success.
-
C.
Mike Dunleavy
Mike Dunleavy is an American Republican politician and former educator who serves as the governor of Alaska.
-
D.
Patrick Brown
Patrick Brown is a Canadian politician who has served as the mayor of Brampton, Ontario.
-
E.
Sy Bartlett
Sy Bartlett was an American screenwriter and film producer best known for co-writing and producing the World War II drama "Twelve O'Clock High."
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621242188190a7e1deeada7688d8 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3717a9a08190b3d997bb7bc6e14f |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad37e306948190bbaa14829ce094e6 |
completed | March 8, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38d106348190835d753c6cffcc48 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.