Triple
T1251345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Hurdle |
E26881
|
entity |
| Predicate | roleWithTeam |
P13665
|
FINISHED |
| Object | hitting coach for Colorado Rockies |
—
|
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: hitting coach for Colorado Rockies | Statement: [Clint Hurdle, roleWithTeam, hitting coach for Colorado Rockies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithTeam Context triple: [Clint Hurdle, roleWithTeam, hitting coach for Colorado Rockies]
-
A.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
B.
managedTeamFrom
Indicates that one entity led, directed, or supervised a team originating from or based in another specified entity.
-
C.
managedTeam
Indicates that one entity had responsibility for directing, supervising, and coordinating the work of another group or team.
-
D.
roleInTeamViewer
Indicates the specific function, position, or responsibility an entity holds within a TeamViewer-related team or collaborative setup.
-
E.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.