Triple
T7717013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tubby Smith |
E174909
|
entity |
| Predicate | coachedTeamToTournament |
P30583
|
FINISHED |
| Object | 1998 NCAA Division I men’s basketball championship |
—
|
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: 1998 NCAA Division I men’s basketball championship | Statement: [Tubby Smith, coachedTeamToTournament, 1998 NCAA Division I men’s basketball championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedTeamToTournament Context triple: [Tubby Smith, coachedTeamToTournament, 1998 NCAA Division I men’s basketball championship]
-
A.
coachedTeamInCountry
Indicates that a person served as a coach for a particular team while that team was based in or associated with a specified country.
-
B.
coachedTeamInChampionshipGame
Indicates that a person served as the coach of a particular team specifically in a championship game.
-
C.
coachingTeam
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
D.
coachedTeamToPlayoffs
chosen
Indicates that a coach successfully led a team to qualify for the playoffs in a competition or league.
-
E.
teamTypeCoached
Indicates the type or category of team that an individual has coached.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.