Triple
T23066702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wooden |
E575060
|
entity |
| Predicate | consecutiveNCAAChampionshipsYears |
P76308
|
FINISHED |
| Object | 1967–1973 |
—
|
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: 1967–1973 | Statement: [John Wooden, consecutiveNCAAChampionshipsYears, 1967–1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consecutiveNCAAChampionshipsYears Context triple: [John Wooden, consecutiveNCAAChampionshipsYears, 1967–1973]
-
A.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
B.
NCAANationalChampionshipYearsApprox
chosen
Indicates the approximate years in which an entity won the NCAA national championship.
-
C.
numberOfNationalChampionships
Indicates the total count of national championship titles an entity has won.
-
D.
NCAATournamentWins
Indicates the number of games a team has won in NCAA basketball tournaments.
-
E.
NCAAFinalFourYears
Indicates that the subject participated in the NCAA Final Four tournament in the specified year or years.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a4e2fc81909704333306737f80 |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.