Triple
T4629843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Marlboros |
E101385
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Dave Keon |
E393148
|
NE FINISHED |
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: Dave Keon | Statement: [Toronto Marlboros, notableAlumni, Dave Keon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Keon Context triple: [Toronto Marlboros, notableAlumni, Dave Keon]
-
A.
Dave Keon
chosen
Dave Keon is a Hall of Fame Canadian ice hockey centre best known as a longtime Toronto Maple Leafs star and one of the franchise’s greatest two-way players.
-
B.
Dave Keuning
Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
-
C.
Scott Kevan
Scott Kevan is a cinematographer known for his work on feature films, including the science fiction horror movie "The Darkest Hour."
-
D.
Stephen Koepp
Stephen Koepp is an American journalist and editor best known as a longtime senior editor at Time magazine and co-founder of the business news site "From Day One."
-
E.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a316ef48190831970ec914cf5a2 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfab992148190a1b1dfa33b971d11 |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:13 p.m.