Triple
T4629223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Berube |
E101171
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berube
Berube is a surname most notably associated with Craig Berube, a former NHL player and Stanley Cup–winning head coach.
|
E457237
|
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: Berube | Statement: [Craig Berube, familyName, Berube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berube Context triple: [Craig Berube, familyName, Berube]
-
A.
Reaume
Reaume is a surname of likely French origin borne by individuals such as Helen Emma Reaume.
-
B.
Randy Ambrosie
Randy Ambrosie is a Canadian sports executive and former CFL offensive lineman who serves as the commissioner of the Canadian Football League.
-
C.
Guy Carbonneau
Guy Carbonneau is a Canadian former professional ice hockey centre best known for his defensive prowess and leadership with the Montreal Canadiens, with whom he won multiple Stanley Cups.
-
D.
Charles Daoust
Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
-
E.
Bruce Guerin
Bruce Guerin was an American child actor of the silent film era who appeared in several 1920s motion pictures.
- 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: Berube Triple: [Craig Berube, familyName, Berube]
Generated description
Berube is a surname most notably associated with Craig Berube, a former NHL player and Stanley Cup–winning head coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berube Target entity description: Berube is a surname most notably associated with Craig Berube, a former NHL player and Stanley Cup–winning head coach.
-
A.
Reaume
Reaume is a surname of likely French origin borne by individuals such as Helen Emma Reaume.
-
B.
Randy Ambrosie
Randy Ambrosie is a Canadian sports executive and former CFL offensive lineman who serves as the commissioner of the Canadian Football League.
-
C.
Guy Carbonneau
Guy Carbonneau is a Canadian former professional ice hockey centre best known for his defensive prowess and leadership with the Montreal Canadiens, with whom he won multiple Stanley Cups.
-
D.
Charles Daoust
Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
-
E.
Bruce Guerin
Bruce Guerin was an American child actor of the silent film era who appeared in several 1920s motion pictures.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a300e6081909fa9f504aada33ea |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfab4f4808190920e420f566dec9b |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfc0964c881909e6b98a1c8ea747f |
completed | March 21, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfce1be788190ae3418df301e5136 |
completed | March 21, 2026, 2:05 a.m. |
Created at: March 20, 2026, 1:13 p.m.