Triple
T31969921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Haskins |
E816283
|
entity |
| Predicate | numberOfNCAATournamentAppearances |
P203390
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Don Haskins, numberOfNCAATournamentAppearances, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNCAATournamentAppearances Context triple: [Don Haskins, numberOfNCAATournamentAppearances, 14]
-
A.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
B.
NCAATournamentChampionshipGameAppearances
Indicates the number of times an entity has participated in the championship (final) game of the NCAA Tournament.
-
C.
NCAATournamentAppearancesApprox
Indicates that an entity has participated in the NCAA Tournament, with the count of appearances given as an approximate rather than an exact value.
-
D.
NCAATournamentWins
Indicates the number of games a team has won in NCAA basketball tournaments.
-
E.
NCAAappearance
Indicates that an entity has participated in or made an appearance in an NCAA (National Collegiate Athletic Association) event or tournament.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0174142430819084aa1235500b9d3b |
completed | May 11, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_6a0171a6e0088190958679bb6cb24a70 |
completed | May 11, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_6a0174134f688190861a1acedc9ea060 |
completed | May 11, 2026, 6:15 a.m. |
Created at: May 1, 2026, 12:10 a.m.