Triple
T36827794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1972 NFL season |
E910054
|
entity |
| Predicate | perfectSeasonStartingQuarterback |
P20576
|
FINISHED |
| Object | Bob Griese |
—
|
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: Bob Griese | Statement: [1972 NFL season, perfectSeasonStartingQuarterback, Bob Griese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perfectSeasonStartingQuarterback Context triple: [1972 NFL season, perfectSeasonStartingQuarterback, Bob Griese]
-
A.
featuredQuarterback
Indicates that an entity serves as the primary or highlighted quarterback in a particular context, such as a game, season, or team promotion.
-
B.
JetsQuarterback
Indicates that the subject is a quarterback who plays for, or is associated with, the New York Jets football 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.
homeQuarterback
Indicates that the subject is the quarterback for the home team in a given game or matchup.
-
E.
quarterback
chosen
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).
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.