Triple
T25676544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Madden |
E643820
|
entity |
| Predicate | clubNumberOfGames |
P13108
|
FINISHED |
| Object | over 300 senior games for Essendon Football Club |
—
|
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 300 senior games for Essendon Football Club | Statement: [Simon Madden, clubNumberOfGames, over 300 senior games for Essendon Football Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberOfGames Context triple: [Simon Madden, clubNumberOfGames, over 300 senior games for Essendon Football Club]
-
A.
gameCountPerTeam
Indicates the number of games associated with or played by each team.
-
B.
clubAppearances
chosen
Indicates the number of official matches a player has played for a particular club.
-
C.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
D.
leagueOwned
Indicates that a league has ownership or controlling rights over the referenced entity.
-
E.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb3712cc8190b6e851960cc7c9e9 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 7:39 p.m.