Triple
T27492783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Burgwyn Anderson |
E693935
|
entity |
| Predicate | USMAClassYear |
P132563
|
FINISHED |
| Object | 1852 |
—
|
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: 1852 | Statement: [George Burgwyn Anderson, USMAClassYear, 1852]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USMAClassYear Context triple: [George Burgwyn Anderson, USMAClassYear, 1852]
-
A.
typicalClassYear
Indicates the usual or expected academic year level associated with an entity, such as when a course is typically taken or a program is normally completed.
-
B.
associatedClassYear
Indicates a relationship linking an entity to the specific academic class year with which it is connected or identified.
-
C.
yearOfCommencement
Indicates the specific year in which an activity, event, project, or entity officially began or was initiated.
-
D.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
E.
graduationClass
chosen
Indicates the specific graduating cohort or class year with which an entity (such as a student or alumnus) is associated.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e8a4ce881908c3438144ea16b3b |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:06 p.m.