Triple
T11815797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Skilton |
E280996
|
entity |
| Predicate | BrownlowMedalWins |
P101457
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Bob Skilton, BrownlowMedalWins, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrownlowMedalWins Context triple: [Bob Skilton, BrownlowMedalWins, 3]
-
A.
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.
-
B.
BrownlowMedalVotesLeaderForClub
Indicates that a player is the leading vote-getter in Brownlow Medal votes for their specific club in a given season or context.
-
C.
BrownlowMedallistFromClub
Indicates that a person has won the Brownlow Medal while playing for the specified club.
-
D.
BrownlowVotesTotal
Indicates the total number of Brownlow Medal votes awarded to an entity (typically a player) over a specified period or competition.
-
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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a6574b7081908f7451d2bb233967 |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:42 p.m.