Triple
T21732253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Rock |
E536434
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object | Matt Sawyer |
—
|
NE NERFINISHED |
How this triple was built (2 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: Matt Sawyer | Statement: [Toronto Rock, headCoach, Matt Sawyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Sawyer Context triple: [Toronto Rock, headCoach, Matt Sawyer]
-
A.
Matt Sawyer
chosen
Matt Sawyer is a Canadian lacrosse coach best known for leading the Toronto Rock in the National Lacrosse League.
-
B.
Joe Sawyer
Joe Sawyer was a Canadian-born character actor known for his tough-guy roles in numerous American films and television shows from the 1930s through the 1960s.
-
C.
Matt Swanson
Matt Swanson is an entrepreneur best known as a co-founder of the short-form video creation and sharing platform MixBit.
-
D.
Matt Swanson
Matt Swanson is a musician best known as a member of the Southern California punk band F.Y.P (Five Year Plan).
-
E.
Josh Sawyer
Josh Sawyer is an American video game designer and director best known for his work on role-playing games such as Fallout: New Vegas and Pillars of Eternity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd085eec81908b3df82bc25a8780 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.