Triple
T37988931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Dantonio |
E947771
|
entity |
| Predicate | BigTenChampionshipSeason |
P189828
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Mark Dantonio, BigTenChampionshipSeason, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BigTenChampionshipSeason Context triple: [Mark Dantonio, BigTenChampionshipSeason, 2010]
-
A.
conferenceChampionshipsBigTen
Indicates that the subject has won one or more conference championships in the Big Ten Conference.
-
B.
conferenceTieInBigTenChampion
Indicates that there is a tie-in or automatic qualification linking a conference’s champion to participation in the Big Ten champion’s associated event (such as a specific bowl game or postseason slot).
-
C.
isNationalChampionshipOf
Indicates that one entity is the national championship title, event, or competition associated with the other entity (such as a sport, league, or country).
-
D.
nationalChampionshipParticipation
Indicates that an entity has taken part in a national-level championship competition.
-
E.
claimedNationalChampionshipSeason
Indicates that a team asserts or recognizes a particular season as one in which it won a national championship.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:20 p.m.