Triple
T7616074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian McCaffrey |
E172363
|
entity |
| Predicate | HeismanTrophyVotingFinish |
P78133
|
FINISHED |
| Object | 2nd place in 2015 |
—
|
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: 2nd place in 2015 | Statement: [Christian McCaffrey, HeismanTrophyVotingFinish, 2nd place in 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HeismanTrophyVotingFinish Context triple: [Christian McCaffrey, HeismanTrophyVotingFinish, 2nd place in 2015]
-
A.
heismanTrophyFinalist
Indicates that a person was selected as one of the finalists considered for the Heisman Trophy award in a given year.
-
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.
hasHeismanTrophies
Indicates that the subject has won one or more Heisman Trophy awards.
-
E.
quarterbackAward
Indicates that an entity has received an award specifically recognizing performance or achievement in the role of quarterback.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:55 p.m.