Triple
T31622455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile Kinnick |
E806930
|
entity |
| Predicate | collegeFootballHallOfFameID |
P40512
|
FINISHED |
| Object | Nile-Kinnick |
—
|
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: Nile-Kinnick | Statement: [Nile Kinnick, collegeFootballHallOfFameID, Nile-Kinnick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeFootballHallOfFameID Context triple: [Nile Kinnick, collegeFootballHallOfFameID, Nile-Kinnick]
-
A.
collegeFootballHallOfFameId
chosen
Indicates the unique identifier assigned to an individual or entity in the College Football Hall of Fame database.
-
B.
collegeFootballHallOfFameInductee
Indicates that an individual has been formally inducted into the College Football Hall of Fame.
-
C.
ProFootballHallOfFame
Indicates that a person has been inducted into the Pro Football Hall of Fame.
-
D.
collegeFootballHallOfFameInductionYear
Indicates the year in which a person was formally inducted into the College Football Hall of Fame.
-
E.
GreenBayPackersHallOfFameInduction
Indicates that an individual has been formally inducted into the Green Bay Packers Hall of Fame, recognizing their significant contributions to the Green Bay Packers 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 30, 2026, 10:41 p.m.