Triple
T3803437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julien BriseBois |
E91745
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
BriseBois
BriseBois is a French-origin surname most notably associated with Julien BriseBois, a Canadian ice hockey executive and general manager of the Tampa Bay Lightning in the NHL.
|
E391129
|
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: BriseBois | Statement: [Julien BriseBois, familyName, BriseBois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BriseBois Context triple: [Julien BriseBois, familyName, BriseBois]
-
A.
Antibois
Antibois refers to the inhabitants or natives of Antibes, a coastal town on the French Riviera.
-
B.
Brise-Glace
Brise-Glace was an experimental rock project known for its avant-garde, noise-influenced sound and association with the Chicago underground music scene.
-
C.
Slipice
Slipice is an ice-dropping enemy from the classic Mario Bros. arcade game that freezes platforms and must be defeated to restore normal footing.
-
D.
Brakni
Brakni is the surname of Rachida Brakni, a French actress and director known for her work in film, television, and theater.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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: BriseBois Triple: [Julien BriseBois, familyName, BriseBois]
Generated description
BriseBois is a French-origin surname most notably associated with Julien BriseBois, a Canadian ice hockey executive and general manager of the Tampa Bay Lightning in the NHL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BriseBois Target entity description: BriseBois is a French-origin surname most notably associated with Julien BriseBois, a Canadian ice hockey executive and general manager of the Tampa Bay Lightning in the NHL.
-
A.
Antibois
Antibois refers to the inhabitants or natives of Antibes, a coastal town on the French Riviera.
-
B.
Brise-Glace
Brise-Glace was an experimental rock project known for its avant-garde, noise-influenced sound and association with the Chicago underground music scene.
-
C.
Slipice
Slipice is an ice-dropping enemy from the classic Mario Bros. arcade game that freezes platforms and must be defeated to restore normal footing.
-
D.
Brakni
Brakni is the surname of Rachida Brakni, a French actress and director known for her work in film, television, and theater.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7bacf2881908198a77063d15d16 |
completed | March 9, 2026, 3:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb270b008190bbd87cbddacb7204 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fcb41dac8190ad127d0c23bef877 |
completed | March 14, 2026, 6:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fdd7201c819087e710ad64216fc5 |
completed | March 14, 2026, 6:19 a.m. |
Created at: March 9, 2026, 3:15 p.m.