Triple
T4640324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keller E. Rockey |
E101638
|
entity |
| Predicate | academyClassYear |
P52828
|
FINISHED |
| Object | 1913 |
—
|
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: 1913 | Statement: [Keller E. Rockey, academyClassYear, 1913]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyClassYear Context triple: [Keller E. Rockey, academyClassYear, 1913]
-
A.
schoolYear
chosen
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
B.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
C.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
D.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
E.
IOCSessionYear
Indicates the year in which a particular IOC (International Olympic Committee) session took place.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8fbd2c8190b593cd46ce8dfe0f |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5234d24c819095c79890b70eff9a |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:14 p.m.