Triple
T9571274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile Kinnick |
E230922
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kinnick |
E230922
|
NE 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: Kinnick | Statement: [Nile Kinnick, familyName, Kinnick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinnick Context triple: [Nile Kinnick, familyName, Kinnick]
-
A.
Griese
Griese is a surname most prominently associated with Bob Griese, the Hall of Fame American football quarterback.
-
B.
Knowland
Knowland is a surname most notably associated with William F. Knowland, a prominent mid-20th-century American politician and newspaper publisher.
-
C.
Nile Kinnick
chosen
Nile Kinnick was a celebrated University of Iowa halfback and 1939 Heisman Trophy winner whose legacy as both a football star and World War II naval aviator made him a lasting American sports hero.
-
D.
Lohse
Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
-
E.
Kellen
Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998bf20881909fad48ecb16dfa31 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1614f33108190901e3037654c50ab |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:04 p.m.