Triple
T30833898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFL Most Outstanding Player Award |
E785304
|
entity |
| Predicate | hasNotableMultipleTimeWinner |
P6588
|
FINISHED |
| Object | Doug Flutie |
—
|
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: Doug Flutie | Statement: [CFL Most Outstanding Player Award, hasNotableMultipleTimeWinner, Doug Flutie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMultipleTimeWinner Context triple: [CFL Most Outstanding Player Award, hasNotableMultipleTimeWinner, Doug Flutie]
-
A.
hasWonMultipleChampionships
Indicates that the subject has secured championship titles on more than one separate occasion.
-
B.
notableMultipleWinners
chosen
Indicates that the subject has achieved multiple wins or repeated successes in a notable event, competition, or award.
-
C.
notableMultipleTimeLeaders
Indicates that the subject has held a leadership position multiple times in a way considered notable or significant.
-
D.
hasWinnerEverySeason
Indicates that for every season in consideration, there exists a winner associated with that season.
-
E.
hasMultipleMedalsPerYear
Indicates that an entity has been awarded more than one medal within the same calendar year.
- F. None of above.
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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
Created at: April 29, 2026, 8:45 p.m.