Triple
T2592629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Alouettes |
E58155
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Mike Pringle
Mike Pringle is a former star running back and Canadian Football Hall of Famer widely regarded as one of the greatest players in CFL history.
|
E280815
|
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 Pringle | Statement: [Montreal Alouettes, notablePlayer, Mike Pringle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Pringle Context triple: [Montreal Alouettes, notablePlayer, Mike Pringle]
-
A.
Chris MacNeil
Chris MacNeil is a successful actress and devoted mother whose desperate struggle to save her demon-possessed daughter drives the horror and emotional core of *The Exorcist*.
-
B.
Ian Pringle
Ian Pringle is a film producer best known for his work on the influential Australian drama "Romper Stomper."
-
C.
Chris McAlister
Chris McAlister is a former NFL cornerback best known for his Pro Bowl career with the Baltimore Ravens, including helping the team win Super Bowl XXXV.
-
D.
Graeme Ferguson
Graeme Ferguson was a Canadian filmmaker and co-founder of the IMAX large-format cinema technology.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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 Pringle Triple: [Montreal Alouettes, notablePlayer, Mike Pringle]
Generated description
Mike Pringle is a former star running back and Canadian Football Hall of Famer widely regarded as one of the greatest players in CFL history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Pringle Target entity description: Mike Pringle is a former star running back and Canadian Football Hall of Famer widely regarded as one of the greatest players in CFL history.
-
A.
Chris MacNeil
Chris MacNeil is a successful actress and devoted mother whose desperate struggle to save her demon-possessed daughter drives the horror and emotional core of *The Exorcist*.
-
B.
Ian Pringle
Ian Pringle is a film producer best known for his work on the influential Australian drama "Romper Stomper."
-
C.
Chris McAlister
Chris McAlister is a former NFL cornerback best known for his Pro Bowl career with the Baltimore Ravens, including helping the team win Super Bowl XXXV.
-
D.
Graeme Ferguson
Graeme Ferguson was a Canadian filmmaker and co-founder of the IMAX large-format cinema technology.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd426e2d4819081a07920b4d2a1cc |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83bee4908190b5e446ddbf4e8889 |
completed | March 10, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69af8434f61c81909bffb3f06acb733b |
completed | March 10, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af84b260b881909bbd3d2825f9dea7 |
completed | March 10, 2026, 2:40 a.m. |
Created at: March 6, 2026, 9:49 p.m.