Triple
T25618438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dustin Martin |
E642224
|
entity |
| Predicate | playedJuniorFootballFor |
P8948
|
FINISHED |
| Object | Castlemaine Football Netball Club |
—
|
NE NERFINISHED |
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: Castlemaine Football Netball Club | Statement: [Dustin Martin, playedJuniorFootballFor, Castlemaine Football Netball Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedJuniorFootballFor Context triple: [Dustin Martin, playedJuniorFootballFor, Castlemaine Football Netball Club]
-
A.
playedForJuniorTeam
chosen
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
B.
playedHighSchoolFootballAt
Indicates that a person was a member of and participated in a high school football team at a specific school.
-
C.
playedJuniorHockeyIn
Indicates that a person participated in junior-level ice hockey for a team or in a league located in a specified place.
-
D.
playedRugbyUnionFor
Indicates that one entity was a member of and competed for a particular rugby union team or organization.
-
E.
hadFootball
Indicates that an entity possessed or was in control of a football during a specified time 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 21, 2026, 5:02 p.m.