Triple
T37723802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 BCS National Championship with Ohio State |
E939662
|
entity |
| Predicate | quarterbackOfChampion |
P188973
|
FINISHED |
| Object | Craig Krenzel |
—
|
NE NERFINISHED |
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: Craig Krenzel | Statement: [2002 BCS National Championship with Ohio State, quarterbackOfChampion, Craig Krenzel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterbackOfChampion Context triple: [2002 BCS National Championship with Ohio State, quarterbackOfChampion, Craig Krenzel]
-
A.
teamQuarterbackWinner
Indicates that the specified quarterback is the winning team's quarterback in a particular game or competition.
-
B.
NFCChampionQuarterback
Indicates that the subject is a quarterback who has won the NFC Championship (i.e., led a team to an NFC Championship title).
-
C.
AFCChampionQuarterback
Indicates that a quarterback has led a team to win the American Football Conference (AFC) championship.
-
D.
quarterbackWinningTeam
Indicates that the quarterback belongs to the team that won the game or match.
-
E.
NFLChampion
Indicates that an entity is the team that won the National Football League (NFL) championship for a given season or year.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.