Triple
T25476928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Reynolds |
E638457
|
entity |
| Predicate | BrownlowMedalWinYear |
P101450
|
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: [Dick Reynolds, BrownlowMedalWinYear, 1938]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrownlowMedalWinYear Context triple: [Dick Reynolds, BrownlowMedalWinYear, 1938]
-
A.
BrownlowMedalYear
chosen
Indicates the year in which a given Brownlow Medal was awarded.
-
B.
BrownlowMedalWins
Indicates the number of times an entity has won the Brownlow Medal award.
-
C.
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.
-
D.
BrownlowMedallistFromClub
Indicates that a person has won the Brownlow Medal while playing for the specified club.
-
E.
BrownlowMedalVotesLeaderForClub
Indicates that a player is the leading vote-getter in Brownlow Medal votes for their specific club in a given season or context.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f772a0248190a52aef4495a5b0a3 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:26 p.m.