Triple
T19014916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence "Big House" Gaines |
E465321
|
entity |
| Predicate | totalCollegeBasketballWins |
P39702
|
FINISHED |
| Object | 828 |
—
|
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: 828 | Statement: [Clarence "Big House" Gaines, totalCollegeBasketballWins, 828]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCollegeBasketballWins Context triple: [Clarence "Big House" Gaines, totalCollegeBasketballWins, 828]
-
A.
coachingRecordCollegeWins
chosen
Indicates the number of games a coach has won at the college level in their coaching record.
-
B.
NCAATournamentBestResults
Indicates the best performance or furthest advancement an entity has achieved in the NCAA Tournament.
-
C.
NCAATournamentChampionshipGameAppearances
Indicates the number of times an entity has participated in the championship (final) game of the NCAA Tournament.
-
D.
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.
-
E.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6d9f2a081908c0e923809da88e2 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.