Triple
T34057227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Kidd |
E873392
|
entity |
| Predicate | highSchoolCoachingRecord |
P178402
|
FINISHED |
| Object | 54–11–1 |
—
|
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: 54–11–1 | Statement: [Roy Kidd, highSchoolCoachingRecord, 54–11–1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolCoachingRecord Context triple: [Roy Kidd, highSchoolCoachingRecord, 54–11–1]
-
A.
overallCollegeCoachingRecord
Indicates the summarized win-loss (and often tie) coaching performance record of a college coach across all seasons and teams.
-
B.
coachedAtHighSchool
Indicates that one entity served as a coach at the high school associated with the other 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.
highSchoolAllAmerican
Indicates that a person was selected as a high school All-American, recognizing them as one of the top high school athletes in their sport at the national level.
- 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:52 a.m.