Triple
T29521438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Michigan Broncos football |
E748945
|
entity |
| Predicate | 2016FinalRankingCoaches |
P167442
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Western Michigan Broncos football, 2016FinalRankingCoaches, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2016FinalRankingCoaches Context triple: [Western Michigan Broncos football, 2016FinalRankingCoaches, 18]
-
A.
coachesInConference
Indicates that a coach is responsible for leading or coaching a team within a specified athletic conference.
-
B.
coachesPosition
Indicates that one entity serves as the coach for a specific position or role associated with another entity.
-
C.
winningCoachSchool
Indicates that a particular school is the one whose team was coached by the winning coach in a given competition or event.
-
D.
OregonRankingCoaches
Indicates that the subject is a coach associated with Oregon and is being assigned or compared by a specific ranking among such coaches.
-
E.
coachesWith
Indicates that one entity serves as a coach or trainer in relation to another entity.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c9973b08190bbb12bd759f0578e |
completed | May 2, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 4:41 p.m.