Triple
T11832494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Saban |
E281426
|
entity |
| Predicate | SECChampionshipsWonWithAlabama |
P313
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Nick Saban, SECChampionshipsWonWithAlabama, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SECChampionshipsWonWithAlabama Context triple: [Nick Saban, SECChampionshipsWonWithAlabama, multiple]
-
A.
numberOfNationalChampionships
Indicates the total count of national championship titles an entity has won.
-
B.
nationalChampionshipsWonAsCoach
Indicates the number of national championship titles an individual has won specifically in the role of a coach.
-
C.
hasWonBowlGames
Indicates that one entity has achieved victories in one or more bowl games associated with another entity.
-
D.
hasChampionships
chosen
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
E.
numberOfABAChampionships
Indicates the number of championships an entity has won in the American Basketball Association (ABA).
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.