Triple
T33379400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William S. Gray |
E854727
|
entity |
| Predicate | hasNotableStudentMaterial |
—
|
GENERATED |
| Object | elementary school reading textbooks |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableStudentMaterial Context triple: [William S. Gray, hasNotableStudentMaterial, elementary school reading textbooks]
-
A.
hasEducationalMaterial
chosen
Indicates that an entity provides, contains, or is associated with educational content or learning resources for another entity.
-
B.
notableStudentWork
Indicates that the subject has a student whose work is particularly notable or significant in relation to the subject.
-
C.
hasStudentWorkComponent
Indicates that something includes or is associated with a component consisting of work produced by students.
-
D.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
E.
notableStudent
Indicates that a person is a distinguished or particularly significant student of another individual or institution.
- F. None of above.
Provenance (1 batch)
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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.