Triple
T15647535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Shula |
E376219
|
entity |
| Predicate | headCoachRecordAtAlabama |
P101063
|
FINISHED |
| Object | 26–23 |
—
|
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: 26–23 | Statement: [Mike Shula, headCoachRecordAtAlabama, 26–23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headCoachRecordAtAlabama Context triple: [Mike Shula, headCoachRecordAtAlabama, 26–23]
-
A.
headCoachRecordIncludes
Indicates that a head coach’s record encompasses or contains a specified set of results, statistics, or achievements.
-
B.
NFLHeadCoachRecordIncludes
Indicates that a particular NFL head coach’s record includes a specified game, season, statistic, or outcome as part of their official coaching history.
-
C.
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.
-
D.
collegeFootballHeadCoachAt
chosen
Indicates that a person holds the position of head coach for a specified college football team or program.
-
E.
headCoachMichigan
Indicates that one entity serves as the head coach of the Michigan sports team associated with the other entity.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.