Triple
T14824597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Smith |
E348537
|
entity |
| Predicate | retiredFromRepresentativeFootball |
P2644
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Cameron Smith, retiredFromRepresentativeFootball, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromRepresentativeFootball Context triple: [Cameron Smith, retiredFromRepresentativeFootball, 2018]
-
A.
retiredAsPlayerFrom
Indicates that an individual ended their professional playing career while being associated with a specific team, organization, or context.
-
B.
retiredFrom
chosen
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
C.
retiredFromRacing
Indicates that an entity has permanently stopped participating in competitive racing activities.
-
D.
tookBreakFromFootball
Indicates that an entity temporarily stopped participating in football for a period of time.
-
E.
returnedToFootball
Indicates that an entity resumed participating in football after having previously stopped or taken a break.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe7a8dc8190bcb5ecfa1cbf1601 |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.