Triple
T8417415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Franklin |
E198760
|
entity |
| Predicate | previousAssistantCoachPosition |
P58548
|
FINISHED |
| Object | offensive coordinator at Kansas State |
—
|
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: offensive coordinator at Kansas State | Statement: [James Franklin, previousAssistantCoachPosition, offensive coordinator at Kansas State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousAssistantCoachPosition Context triple: [James Franklin, previousAssistantCoachPosition, offensive coordinator at Kansas State]
-
A.
coachPreviousPosition
chosen
Indicates that a coach previously held a specific position or role before their current one.
-
B.
previousHeadCoach
Indicates that one entity formerly served as the head coach of the other entity before being replaced.
-
C.
previousCoCEOWith
Indicates that two entities previously served together as co-chief executive officers of the same organization.
-
D.
wonChampionshipAsAssistantCoachWith
Indicates that one entity served as an assistant coach on a team that won a championship together with the other entity.
-
E.
returnedAsHeadCoach
Indicates that an individual resumed a previous role as head coach of a team or organization after a period of absence.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c66b5c8190b9515f55dc08ac03 |
completed | March 31, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.