Triple
T7923703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Reynolds |
E184006
|
entity |
| Predicate | graduationDate |
P34021
|
FINISHED |
| Object | 1841 |
—
|
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: 1841 | Statement: [John F. Reynolds, graduationDate, 1841]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduationDate Context triple: [John F. Reynolds, graduationDate, 1841]
-
A.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
B.
graduationYearFromRADA
Indicates the year in which an entity completed their studies and officially graduated from RADA (the Royal Academy of Dramatic Art).
-
C.
graduation
chosen
Indicates that an entity has successfully completed an educational program and received a corresponding degree or qualification.
-
D.
doctoralDegreeYear
Indicates the calendar year in which an entity received or completed their doctoral degree.
-
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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aac02bc8190b13fc354a4fa91d3 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:06 p.m.