Triple
T21456874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baz |
E529363
|
entity |
| Predicate | associatedWithCoachingRole |
P119524
|
FINISHED |
| Object | head coach of England Test cricket team |
—
|
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: head coach of England Test cricket team | Statement: [Baz, associatedWithCoachingRole, head coach of England Test cricket team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCoachingRole Context triple: [Baz, associatedWithCoachingRole, head coach of England Test cricket team]
-
A.
associatedWithCoachRole
chosen
Indicates that an entity has a relationship involving the role or function of a coach, such as serving as, working as, or being linked to a coaching position.
-
B.
isActiveAsCoach
Indicates that an entity is currently functioning in the role of a coach within a given context or organization.
-
C.
basedInAsCoach
Indicates that a person holds a coaching position for an organization or team that is located in a specified place.
-
D.
hasCoachingExperienceAs
Indicates that an entity has experience providing coaching in a specified role or capacity.
-
E.
coachedRole
Indicates that one entity served as a coach for another entity in a specific role or position.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d7af248190a3bc06a390f390bf |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:08 p.m.