Triple
T4839617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagan, Minnesota |
E108144
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Mike Maguire
Mike Maguire is an American local politician who has served as the mayor of Eagan, Minnesota.
|
E474860
|
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: Mike Maguire | Statement: [Eagan, Minnesota, hasMayor, Mike Maguire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Maguire Context triple: [Eagan, Minnesota, hasMayor, Mike Maguire]
-
A.
Paul Maguire
Paul Maguire is a former American football punter and linebacker who became a well-known television sportscaster and NFL commentator.
-
B.
James Snodgrass
James Snodgrass is a person notable enough to be recognized as a significant bearer of the surname Snodgrass.
-
C.
Derek Nimmo
Derek Nimmo was a British actor and comedian best known for his portrayals of bumbling upper-class clergymen and his frequent appearances on BBC radio and television panel shows.
-
D.
Steven Taylor
Steven Taylor is a companion of the First Doctor in the classic British science fiction television series Doctor Who.
-
E.
Douglas Shearer
Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
- 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: Mike Maguire Triple: [Eagan, Minnesota, hasMayor, Mike Maguire]
Generated description
Mike Maguire is an American local politician who has served as the mayor of Eagan, Minnesota.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Maguire Target entity description: Mike Maguire is an American local politician who has served as the mayor of Eagan, Minnesota.
-
A.
Paul Maguire
Paul Maguire is a former American football punter and linebacker who became a well-known television sportscaster and NFL commentator.
-
B.
James Snodgrass
James Snodgrass is a person notable enough to be recognized as a significant bearer of the surname Snodgrass.
-
C.
Derek Nimmo
Derek Nimmo was a British actor and comedian best known for his portrayals of bumbling upper-class clergymen and his frequent appearances on BBC radio and television panel shows.
-
D.
Steven Taylor
Steven Taylor is a companion of the First Doctor in the classic British science fiction television series Doctor Who.
-
E.
Douglas Shearer
Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce4a5108190aede620d5dde1f81 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc5861881908ad3838168325a34 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5ed104e48190b01ea97094be6a96 |
completed | March 21, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5fe07d708190ba0dde4c081e15c6 |
completed | March 21, 2026, 9:07 a.m. |
Created at: March 20, 2026, 1:25 p.m.