Triple
T21732467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Bartley |
E536440
|
entity |
| Predicate | Les Bartley Award |
P5653
|
FINISHED |
| Object | given annually to the NLL coach of the year |
—
|
LITERAL 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: given annually to the NLL coach of the year | Statement: [Les Bartley, Les Bartley Award, given annually to the NLL coach of the year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Les Bartley Award Context triple: [Les Bartley, Les Bartley Award, given annually to the NLL coach of the year]
-
A.
ColemanMedalWinner
Indicates that the subject is the winner of the Australian Football League’s Coleman Medal for leading goalkicker in a given season.
-
B.
awardName
chosen
Indicates the specific name or title of an award associated with an entity.
-
C.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
D.
holderAward
Indicates that an entity has received, possesses, or is the recipient of a particular award.
-
E.
awardNameIncludes
Indicates that the name of an award contains the specified text or substring.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd085eec81908b3df82bc25a8780 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.