Triple
T13353535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint John Sea Dogs |
E318128
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object |
Nathan Beaulieu
Nathan Beaulieu is a Canadian professional ice hockey defenceman who has played in the NHL for teams including the Montreal Canadiens and Winnipeg Jets.
|
E1037521
|
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: Nathan Beaulieu | Statement: [Saint John Sea Dogs, notableAlumni, Nathan Beaulieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Beaulieu Context triple: [Saint John Sea Dogs, notableAlumni, Nathan Beaulieu]
-
A.
Jason Tremblay
Jason Tremblay is the father of Canadian child actor Jacob Tremblay.
-
B.
Trevor Gagnon
Trevor Gagnon is an American former child actor best known for his role as Ritchie Diaz on the sitcom "The New Adventures of Old Christine."
-
C.
Gabriel Lajeunesse
Gabriel Lajeunesse is the devoted lover of the title character in Henry Wadsworth Longfellow’s narrative poem "Evangeline," symbolizing steadfast love and perseverance amid separation and exile.
-
D.
Sam Bouchard
Sam Bouchard is a character in the film "Body Double," involved in its suspenseful, voyeuristic thriller plot.
-
E.
Joel Bouchard
Joel Bouchard is a Canadian former professional ice hockey defenseman who became a coach in the American Hockey League.
- 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: Nathan Beaulieu Triple: [Saint John Sea Dogs, notableAlumni, Nathan Beaulieu]
Generated description
Nathan Beaulieu is a Canadian professional ice hockey defenceman who has played in the NHL for teams including the Montreal Canadiens and Winnipeg Jets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathan Beaulieu Target entity description: Nathan Beaulieu is a Canadian professional ice hockey defenceman who has played in the NHL for teams including the Montreal Canadiens and Winnipeg Jets.
-
A.
Jason Tremblay
Jason Tremblay is the father of Canadian child actor Jacob Tremblay.
-
B.
Trevor Gagnon
Trevor Gagnon is an American former child actor best known for his role as Ritchie Diaz on the sitcom "The New Adventures of Old Christine."
-
C.
Gabriel Lajeunesse
Gabriel Lajeunesse is the devoted lover of the title character in Henry Wadsworth Longfellow’s narrative poem "Evangeline," symbolizing steadfast love and perseverance amid separation and exile.
-
D.
Sam Bouchard
Sam Bouchard is a character in the film "Body Double," involved in its suspenseful, voyeuristic thriller plot.
-
E.
Joel Bouchard
Joel Bouchard is a Canadian former professional ice hockey defenseman who became a coach in the American Hockey League.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72675c87c8190b26991b55092c444 |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:32 p.m.