Triple
T37620272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 BCS National Championship |
E936047
|
entity |
| Predicate | FloridaStateQuarterback |
P163232
|
FINISHED |
| Object | Jameis Winston |
—
|
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: Jameis Winston | Statement: [2013 BCS National Championship, FloridaStateQuarterback, Jameis Winston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FloridaStateQuarterback Context triple: [2013 BCS National Championship, FloridaStateQuarterback, Jameis Winston]
-
A.
teamQuarterback_FloridaState
chosen
Indicates that the subject served as the quarterback for the Florida State football team.
-
B.
JetsQuarterback
Indicates that the subject is a quarterback who plays for, or is associated with, the New York Jets football team.
-
C.
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).
-
D.
NFCChampionQuarterback
Indicates that the subject is a quarterback who has won the NFC Championship (i.e., led a team to an NFC Championship title).
-
E.
KansasQuarterback
Indicates that an entity serves as a quarterback for a football team associated with Kansas.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.