Triple
T10384908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sport Australia Hall of Fame |
E244735
|
entity |
| Predicate | awardGiven |
P287
|
FINISHED |
| Object | The Don Award |
E859039
|
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: The Don Award | Statement: [Sport Australia Hall of Fame, awardGiven, The Don Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Don Award Context triple: [Sport Australia Hall of Fame, awardGiven, The Don Award]
-
A.
The Don Award
chosen
The Don Award is a prestigious Australian sporting honor presented annually to the athlete or team whose performance and example most inspired the nation.
-
B.
Biletnikoff Award
The Biletnikoff Award is an annual college football honor presented to the nation’s most outstanding receiver at any position.
-
C.
Les Cunningham Award
The Les Cunningham Award is the American Hockey League’s annual honor given to its most valuable player during the regular season.
-
D.
Reuben Award
The Reuben Award is a prestigious annual honor presented by the National Cartoonists Society to recognize outstanding achievement in the field of cartooning.
-
E.
Tony Jannus Award
The Tony Jannus Award is a prestigious aviation honor recognizing outstanding contributions to the commercial airline industry.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a35fb08190ab85b4a8f8dea511 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fba398b88190ae3223218bf53ca7 |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, 12:04 p.m.