Triple
T36951156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Orange Bowl |
E914065
|
entity |
| Predicate | KansasQuarterback |
P188837
|
FINISHED |
| Object | Todd Reesing |
—
|
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: Todd Reesing | Statement: [2008 Orange Bowl, KansasQuarterback, Todd Reesing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KansasQuarterback Context triple: [2008 Orange Bowl, KansasQuarterback, Todd Reesing]
-
A.
JetsQuarterback
Indicates that the subject is a quarterback who plays for, or is associated with, the New York Jets football team.
-
B.
homeQuarterback
Indicates that the subject is the quarterback for the home team in a given game or matchup.
-
C.
SeattleQuarterback
Indicates that an entity serves as the quarterback for a football team based in Seattle.
-
D.
quarterback
Indicates that an entity performs the role or action of playing as the quarterback in a football context for another entity (such as a team).
-
E.
quarterbackOregon
Indicates that an entity serves as the quarterback for the Oregon football team.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.