Triple
T24371119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John C. Pemberton |
E614333
|
entity |
| Predicate | dateOfGraduation |
P95483
|
FINISHED |
| Object | 1837 |
—
|
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: 1837 | Statement: [John C. Pemberton, dateOfGraduation, 1837]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfGraduation Context triple: [John C. Pemberton, dateOfGraduation, 1837]
-
A.
yearOfCommencement
Indicates the specific year in which an activity, event, project, or entity officially began or was initiated.
-
B.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
C.
graduation
Indicates that an entity has successfully completed an educational program and received a corresponding degree or qualification.
-
D.
yearTaken
chosen
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
-
E.
graduationYearFromRADA
Indicates the year in which an entity completed their studies and officially graduated from RADA (the Royal Academy of Dramatic Art).
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938b95188190b8f7ee1098c6088a |
completed | April 29, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.