Triple
T20132057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 NCAA Division I-A football season |
E490918
|
entity |
| Predicate | HeismanTrophyWinnerPosition |
P114119
|
FINISHED |
| Object | 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: quarterback | Statement: [1993 NCAA Division I-A football season, HeismanTrophyWinnerPosition, quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HeismanTrophyWinnerPosition Context triple: [1993 NCAA Division I-A football season, HeismanTrophyWinnerPosition, quarterback]
-
A.
HeismanTrophyPosition
chosen
Indicates the playing position associated with a recipient of the Heisman Trophy.
-
B.
HeismanTrophyWinner
Indicates that the subject is the recipient of the Heisman Trophy, awarded annually to the most outstanding player in U.S. college football.
-
C.
HeismanTrophyYear
Indicates the specific year in which an entity received or was associated with the Heisman Trophy award.
-
D.
heismanTrophyFinalist
Indicates that a person was selected as one of the finalists considered for the Heisman Trophy award in a given year.
-
E.
HeismanTrophyVotesReceivedByPlayer
Indicates the number of Heisman Trophy votes that a specific player received in a given voting year or context.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66762f0448190b7dbbc665e179ffc |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.