Triple
T11876161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovie Smith |
E282531
|
entity |
| Predicate | startOfTenureWithTampaBayBuccaneers |
P43735
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Lovie Smith, startOfTenureWithTampaBayBuccaneers, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfTenureWithTampaBayBuccaneers Context triple: [Lovie Smith, startOfTenureWithTampaBayBuccaneers, 2014]
-
A.
headCoachTenureEndYearWithTampaBayBuccaneers
Indicates the year in which a person’s tenure as head coach of the Tampa Bay Buccaneers ended.
-
B.
beganNFLHeadCoachingCareerWith
Indicates that an individual's first position as an NFL head coach was with the specified team.
-
C.
startOfTenureWithDodgers
Indicates the point in time when an entity begins its period of playing for or working with the Dodgers organization.
-
D.
roleAtTampaBayBuccaneers
chosen
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
E.
nflDebutYear
Indicates the year in which an individual first appeared in an official NFL game.
- 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_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. |
Created at: April 8, 2026, 9:44 p.m.