Triple
T37988940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Dantonio |
E947771
|
entity |
| Predicate | majorBowlVictory |
P18823
|
FINISHED |
| Object | 2014 Rose Bowl Game |
—
|
NE NERFINISHED |
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: 2014 Rose Bowl Game | Statement: [Mark Dantonio, majorBowlVictory, 2014 Rose Bowl Game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorBowlVictory Context triple: [Mark Dantonio, majorBowlVictory, 2014 Rose Bowl Game]
-
A.
SuperBowlWin
Indicates that a team has won the Super Bowl in a given season or game.
-
B.
superBowlWin
Indicates that a team has won a Super Bowl championship game.
-
C.
hasWonSuperBowl
Indicates that a team or individual has achieved victory in at least one Super Bowl championship game.
-
D.
hasWonBowlGame
chosen
Indicates that a team or individual has achieved victory in a specific bowl game competition.
-
E.
wonNFLChampionshipWith
Indicates that an individual or team secured an NFL championship title while being a member of or associated with a specified team or organization.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0039c2d5d48190b8ef2c7ef17d8dc5 |
completed | May 10, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_6a0038e525448190a4c815f51595e78d |
completed | May 10, 2026, 7:51 a.m. |
Created at: May 3, 2026, 4:20 p.m.