Triple
T10839978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Buoniconti |
E255858
|
entity |
| Predicate | AFLAllStarSelectionCount |
P63231
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Nick Buoniconti, AFLAllStarSelectionCount, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AFLAllStarSelectionCount Context triple: [Nick Buoniconti, AFLAllStarSelectionCount, 7]
-
A.
aflAllStarSelectionCount
chosen
Indicates the number of times an entity has been selected as an AFL (Australian Football League) All-Star.
-
B.
AFLChampionshipGameAppearances
Indicates the number of times an entity has participated in an AFL championship game.
-
C.
AFLGamesPlayed
Indicates the number of Australian Football League (AFL) games that an entity has participated in.
-
D.
AFLDraftPick
Indicates a selection relationship where an Australian Football League (AFL) club chooses a player with a specific draft pick in an AFL draft.
-
E.
BrownlowVotesTotal
Indicates the total number of Brownlow Medal votes awarded to an entity (typically a player) over a specified period or competition.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7470204548190ba0c724dd9367712 |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.