Triple
T55092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beavers |
E1086
|
entity |
| Predicate | athleticDirectorPosition |
P745
|
FINISHED |
| Object | Oregon State University athletic director |
—
|
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: Oregon State University athletic director | Statement: [Beavers, athleticDirectorPosition, Oregon State University athletic director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleticDirectorPosition Context triple: [Beavers, athleticDirectorPosition, Oregon State University athletic director]
-
A.
athleticDirector
chosen
Indicates that one entity serves as the athletic director (the person in charge of overseeing athletic programs) for another entity, such as a school or organization.
-
B.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
C.
notableCoach
Indicates that one entity is a coach who is widely recognized or distinguished in relation to the other entity.
-
D.
collegeTeamCoached
Indicates that a person has served as a coach for a particular college sports team.
-
E.
namePosition
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b3a9e848190b80de3c858678b3a |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ac52fb08190aa7c38f83434f795 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.