Triple
T24541066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drew Bledsoe |
E607091
|
entity |
| Predicate | superBowlTitleAs |
P156660
|
FINISHED |
| Object | member of roster, not starting quarterback |
—
|
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: member of roster, not starting quarterback | Statement: [Drew Bledsoe, superBowlTitleAs, member of roster, not starting quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superBowlTitleAs Context triple: [Drew Bledsoe, superBowlTitleAs, member of roster, not starting quarterback]
-
A.
superBowlTitle
Indicates that one entity is the winner (holder) of a specified Super Bowl championship title.
-
B.
superBowlTitlesWith
Indicates that one entity has won a specified number of Super Bowl titles associated with another entity (such as a team or organization).
-
C.
superBowlTitleCount
Indicates the number of Super Bowl championships an entity has won.
-
D.
associatedWithSuperBowlTitle
Indicates that an entity has a relationship or connection to a specific Super Bowl championship title.
-
E.
superBowlChampionWith
Indicates that one entity is the Super Bowl champion associated with the other entity (such as a specific season, year, or 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:26 a.m.