Triple
T11876163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovie Smith |
E282531
|
entity |
| Predicate | startOfTenureWithIllinoisFightingIllini |
P101992
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Lovie Smith, startOfTenureWithIllinoisFightingIllini, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfTenureWithIllinoisFightingIllini Context triple: [Lovie Smith, startOfTenureWithIllinoisFightingIllini, 2016]
-
A.
athleticDirectorTenureStart
Indicates the date or time when an individual begins serving as an athletic director for an organization or institution.
-
B.
madeCollegiateDebut
Indicates that an individual participated in their first official competition or appearance at the collegiate level.
-
C.
joinedBigTen
Indicates that an entity became a member of the Big Ten athletic conference at a particular point in time.
-
D.
inauguralSeason
Indicates the first season in which an entity (such as a team, league, or event) officially began participating or operating.
-
E.
collegeChampionshipYear
Indicates the specific year in which a college team or individual won a championship title.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.