Triple
T14825147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haydn Bunton Sr. |
E348550
|
entity |
| Predicate | SandoverMedalYear |
P115976
|
FINISHED |
| Object | 1938 |
—
|
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: 1938 | Statement: [Haydn Bunton Sr., SandoverMedalYear, 1938]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SandoverMedalYear Context triple: [Haydn Bunton Sr., SandoverMedalYear, 1938]
-
A.
BrownlowMedalYear
Indicates the year in which a given Brownlow Medal was awarded.
-
B.
ColemanMedalWinner
Indicates that the subject is the winner of the Australian Football League’s Coleman Medal for leading goalkicker in a given season.
-
C.
yearWonWallyLewisMedal
Indicates the specific year in which an entity received the Wally Lewis Medal.
-
D.
BrownlowMedal
Indicates that an entity has been awarded or is associated with the Brownlow Medal, typically recognizing the best and fairest player in an Australian Football League season.
-
E.
AFLPremiershipsAsPlayerWith
Indicates that a person has won one or more AFL premierships while playing for a specified team.
- F. None of above. chosen
Provenance (4 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90806f3881908fcbfec5bd4ab4d2 |
completed | April 14, 2026, 7:07 p.m. |
Created at: April 10, 2026, 1:51 a.m.