Triple
T6438887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heisman Trophy |
E129967
|
entity |
| Predicate | typicalWinnerClass |
P52161
|
FINISHED |
| Object | junior |
—
|
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: junior | Statement: [Heisman Trophy, typicalWinnerClass, junior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWinnerClass Context triple: [Heisman Trophy, typicalWinnerClass, junior]
-
A.
positionOfTypicalWinners
Indicates the usual or most common placement or ranking that winners occupy in a given context or competition.
-
B.
pointsClassificationWinner
Indicates that the subject is the winner of a competition or ranking based on accumulated points classification.
-
C.
winnerType
chosen
Indicates the category or kind of winner associated with an event, competition, or outcome.
-
D.
generalClassificationWinner
Indicates that the subject is the overall winner in the general classification or overall standings of a competition or event.
-
E.
mainWinner
Indicates that one entity is the primary or overall winner in a competition, contest, or comparative outcome relative to others.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06965a5d48190a5860da9e22dc6e0 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.