Triple
T24488064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Tournament at Wichita State University |
E617565
|
entity |
| Predicate | coachLedDeepRuns |
P156490
|
FINISHED |
| Object | Gregg Marshall |
—
|
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: Gregg Marshall | Statement: [NCAA Tournament at Wichita State University, coachLedDeepRuns, Gregg Marshall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachLedDeepRuns Context triple: [NCAA Tournament at Wichita State University, coachLedDeepRuns, Gregg Marshall]
-
A.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
-
B.
walksLeader
Indicates that one entity walks at the front and leads another entity during movement.
-
C.
raceRoute
Indicates that one entity serves as the course or path along which a race or competitive event is conducted for another entity.
-
D.
odiRuns
Indicates the number of runs a player scores in One Day International (ODI) cricket matches.
-
E.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
- F. None of above. chosen
Provenance (4 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.