Triple
T36024832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan–Minnesota football rivalry |
E1042097
|
entity |
| Predicate | trophyOriginInvolvesCoach |
P185282
|
FINISHED |
| Object | Fielding H. Yost |
—
|
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: Fielding H. Yost | Statement: [Michigan–Minnesota football rivalry, trophyOriginInvolvesCoach, Fielding H. Yost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyOriginInvolvesCoach Context triple: [Michigan–Minnesota football rivalry, trophyOriginInvolvesCoach, Fielding H. Yost]
-
A.
trophyOrigin
Indicates the source or place from which a trophy was obtained or originated.
-
B.
medalWonAsCoach
Indicates that an individual has won a medal in the role of a coach rather than as a competitor.
-
C.
trophyWonBy
Indicates that a particular trophy or award is obtained or earned by a specific entity (such as a person or team).
-
D.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
E.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.