Triple
T23625069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Montgomery Knight |
E583438
|
entity |
| Predicate | wonNITChampionshipAsCoach |
P7572
|
FINISHED |
| Object | 1979 National Invitation Tournament |
—
|
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: 1979 National Invitation Tournament | Statement: [Robert Montgomery Knight, wonNITChampionshipAsCoach, 1979 National Invitation Tournament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonNITChampionshipAsCoach Context triple: [Robert Montgomery Knight, wonNITChampionshipAsCoach, 1979 National Invitation Tournament]
-
A.
NCAAChampionCoach
Indicates that a coach has led a team to win an NCAA championship title.
-
B.
nationalChampionshipsWonAsCoach
Indicates the number of national championship titles an individual has won specifically in the role of a coach.
-
C.
conferenceChampionshipsWonAsCoach
Indicates the number of conference championship titles an individual has won while serving in the role of coach.
-
D.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
E.
hasWonAPCollegeCoachOfTheYear
Indicates that the subject has received an AP College Coach of the Year award.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17c993c8190bf9ee3201869d240 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.