Triple
T18319438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernardini |
E438829
|
entity |
| Predicate | enteredStudYear |
P50887
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Bernardini, enteredStudYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredStudYear Context triple: [Bernardini, enteredStudYear, 2007]
-
A.
enteredStud
Indicates that a student has enrolled in or begun attending a particular course, program, or institution.
-
B.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
C.
matriculationYear
chosen
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
D.
majorStudyYear
Indicates the academic year in which an entity (typically a student) is primarily engaged in a particular course of study or major.
-
E.
academicYearType
Indicates the classification of an academic year according to its structural or administrative type (e.g., semester-based, quarter-based, fiscal year, etc.).
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa4d3308190883714e1ef6a1d84 |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.