Triple
T32491883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | József Nagy (footballer, born 1889) |
E830409
|
entity |
| Predicate | workedAsCoachIn |
P107825
|
FINISHED |
| Object | Sweden |
—
|
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: Sweden | Statement: [József Nagy (footballer, born 1889), workedAsCoachIn, Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedAsCoachIn Context triple: [József Nagy (footballer, born 1889), workedAsCoachIn, Sweden]
-
A.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
B.
workedUnderHeadCoach
Indicates that one person held a role or position under the authority or supervision of another person who was serving as the head coach.
-
C.
hasCoachingExperienceAs
chosen
Indicates that an entity has experience providing coaching in a specified role or capacity.
-
D.
hasCoachedTeamDuringTransitionTo
Indicates that a coach has led or coached a team during its transition or move to another specified team, organization, or competitive context.
-
E.
yearsActiveAsCoach
Indicates the span of time, typically in years, during which an individual has served in a coaching role.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c407c3388190aa5eb09bd39022e9 |
completed | May 3, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:59 a.m.