Triple
T19200547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rory Best |
E470093
|
entity |
| Predicate | clubRetirementFromUlster |
P134843
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Rory Best, clubRetirementFromUlster, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubRetirementFromUlster Context triple: [Rory Best, clubRetirementFromUlster, 2019]
-
A.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
B.
retiredFromCFL
Indicates that an individual has ended their professional playing or working career in the Canadian Football League (CFL).
-
C.
retiredBy
Indicates that one entity has formally ended the active status, use, or service of another entity.
-
D.
retiredAsPlayerFrom
Indicates that an individual ended their professional playing career while being associated with a specific team, organization, or context.
-
E.
retiredFromCanadianForces
Indicates that an individual has ended their service or career in the Canadian Armed Forces.
- F. None of above. chosen
Provenance (4 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f997879c8190ae7618d1ba0cede9 |
completed | April 20, 2026, 10:01 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bc158081908307dab01d9478c6 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:07 p.m.