Triple
T22831114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calgary Dinos |
E565801
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Mark Tewksbury |
—
|
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: Mark Tewksbury | Statement: [Calgary Dinos, notableAlumni, Mark Tewksbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Tewksbury Context triple: [Calgary Dinos, notableAlumni, Mark Tewksbury]
-
A.
Mark Tewksbury
chosen
Mark Tewksbury is a Canadian former Olympic backstroke champion and sports commentator who later became a prominent motivational speaker and LGBTQ+ advocate.
-
B.
Mark Tibbett
Mark Tibbett is an individual notable enough to be specifically cited as a bearer of the surname Tibbett.
-
C.
Michael Tapper
Michael Tapper is an American drummer best known for his work in indie and experimental rock bands, including his tenure with the group Grizzly Bear.
-
D.
Mark Tucker
Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
-
E.
Dirk Kempthorne
Dirk Kempthorne is an American Republican politician who served as governor of Idaho and later as U.S. Secretary of the Interior under President George W. Bush.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2bcad8819091f237fd2273a20c |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.