Triple
T12954823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Huerter |
E309982
|
entity |
| Predicate | highSchoolAchievementYear |
P95483
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Kevin Huerter, highSchoolAchievementYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolAchievementYear Context triple: [Kevin Huerter, highSchoolAchievementYear, 2016]
-
A.
highSchoolAchievement
Indicates the level or nature of a person’s academic or related performance outcomes during their high school education.
-
B.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
C.
yearTaken
chosen
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
-
D.
upperLevelCompletionYear
Indicates the year in which an entity completed an upper-level stage of education, training, or qualification.
-
E.
undergraduateDegreeYear
Indicates the year in which an entity obtained or completed their undergraduate degree.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.