Triple
T7616077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian McCaffrey |
E172363
|
entity |
| Predicate | Pac12OffensivePlayerOfTheYear |
P78135
|
FINISHED |
| Object | 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: 2015 | Statement: [Christian McCaffrey, Pac12OffensivePlayerOfTheYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Pac12OffensivePlayerOfTheYear Context triple: [Christian McCaffrey, Pac12OffensivePlayerOfTheYear, 2015]
-
A.
Pac12PlayerOfTheYear
Indicates that the subject was selected as the Pac-12 Conference Player of the Year in a given season.
-
B.
Pac12FreshmanOfTheYear
Indicates that an individual was selected as the Pac-12 Conference’s Freshman of the Year in their sport for a given season.
-
C.
HeismanTrophyWinner
Indicates that the subject is the recipient of the Heisman Trophy, awarded annually to the most outstanding player in U.S. college football.
-
D.
quarterbackAward
Indicates that an entity has received an award specifically recognizing performance or achievement in the role of quarterback.
-
E.
defensivePlayerOfTheYear
Indicates that the subject was recognized or awarded as the top defensive player of the year in a particular league, competition, or season.
- 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.