Triple
T11815809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Skilton |
E280996
|
entity |
| Predicate | clubGamesPlayedForSouthMelbourne |
P13108
|
FINISHED |
| Object | over 200 |
—
|
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: over 200 | Statement: [Bob Skilton, clubGamesPlayedForSouthMelbourne, over 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubGamesPlayedForSouthMelbourne Context triple: [Bob Skilton, clubGamesPlayedForSouthMelbourne, over 200]
-
A.
AFLGamesPlayed
Indicates the number of Australian Football League (AFL) games that an entity has participated in.
-
B.
AFLPremiershipsAsPlayerWith
Indicates that a person has won one or more AFL premierships while playing for a specified team.
-
C.
clubAppearances
chosen
Indicates the number of official matches a player has played for a particular club.
-
D.
AFLChampionshipGameAppearances
Indicates the number of times an entity has participated in an AFL championship game.
-
E.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
- 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_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. |
Created at: April 8, 2026, 9:42 p.m.