Triple
T3904439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 St. Louis Rams offense |
E90570
|
entity |
| Predicate | quarterbackAward |
P52813
|
FINISHED |
| Object | NFL MVP for Kurt Warner |
—
|
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: NFL MVP for Kurt Warner | Statement: [1999 St. Louis Rams offense, quarterbackAward, NFL MVP for Kurt Warner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterbackAward Context triple: [1999 St. Louis Rams offense, quarterbackAward, NFL MVP for Kurt Warner]
-
A.
HeismanTrophyWinner
Indicates that the subject is the recipient of the Heisman Trophy, awarded annually to the most outstanding player in U.S. college football.
-
B.
AFCChampionQuarterback
Indicates that a quarterback has led a team to win the American Football Conference (AFC) championship.
-
C.
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.
-
D.
HeismanTrophyYear
Indicates the specific year in which an entity received or was associated with the Heisman Trophy award.
-
E.
heismanTrophyFinalist
Indicates that a person was selected as one of the finalists considered for the Heisman Trophy award in a given year.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:22 p.m.