Triple
T10033730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Young |
E204911
|
entity |
| Predicate | NFLPassingTitle |
P92019
|
FINISHED |
| Object | 6 passer rating titles |
—
|
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: 6 passer rating titles | Statement: [Steve Young, NFLPassingTitle, 6 passer rating titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NFLPassingTitle Context triple: [Steve Young, NFLPassingTitle, 6 passer rating titles]
-
A.
NFLTouchdownPasses
Indicates that a player successfully throws a pass that results in a touchdown being scored in an NFL game.
-
B.
gameWinningTouchdownPasser
Indicates that the subject is the player who threw the touchdown pass that secured the victory in the game for the subject's team.
-
C.
GreatestShowOnTurfQuarterback
Indicates that the subject is a quarterback who played for the St. Louis Rams during their high-powered offensive era commonly known as "The Greatest Show on Turf."
-
D.
ledNFLInPassingYards
Indicates that the subject was the league leader in total passing yards in the NFL for a given season.
-
E.
JetsQuarterback
Indicates that the subject is a quarterback who plays for, or is associated with, the New York Jets 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce490ff08190963d841b05d150a7 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 8:54 p.m.