Triple
T37651317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Norvell |
E937180
|
entity |
| Predicate | headCoachStartYear_FloridaState |
P7106
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Mike Norvell, headCoachStartYear_FloridaState, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headCoachStartYear_FloridaState Context triple: [Mike Norvell, headCoachStartYear_FloridaState, 2019]
-
A.
headCoachStartYear
chosen
Indicates the year in which an individual began serving as the head coach of a team or organization.
-
B.
floridaHeadCoach
Indicates that one entity serves as the head coach of the Florida sports team or program represented by the other entity.
-
C.
headCoachTenureEndYearWithTampaBayBuccaneers
Indicates the year in which a person’s tenure as head coach of the Tampa Bay Buccaneers ended.
-
D.
hiredAsHeadCoachYear
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
-
E.
headCoachOhioState
Indicates that the subject is the head coach of the Ohio State sports team (typically the Ohio State University football team) during a given time period.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.