Triple
T25476980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavin Wanganeen |
E638458
|
entity |
| Predicate | AFLGoalsForPortAdelaide |
P74173
|
FINISHED |
| Object | 235 |
—
|
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: 235 | Statement: [Gavin Wanganeen, AFLGoalsForPortAdelaide, 235]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AFLGoalsForPortAdelaide Context triple: [Gavin Wanganeen, AFLGoalsForPortAdelaide, 235]
-
A.
AFLGoalsScored
chosen
Indicates the number of goals a player scores in an Australian Football League (AFL) match or season.
-
B.
AFLDebutYear
Indicates the year in which an entity made its debut in the Australian Football League (AFL).
-
C.
AFLChampionshipGameScore
Indicates the final score outcome of a specific AFL championship game between competing teams.
-
D.
AFLPremiershipsAsPlayerWith
Indicates that a person has won one or more AFL premierships while playing for a specified team.
-
E.
AFLChampionshipWin
Indicates that a team has won the championship title in the Australian Football League (AFL) for a given season or event.
- 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_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:26 p.m.