Triple
T22567078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln High School, Gallipolis, Ohio |
E557978
|
entity |
| Predicate | facultyRole |
P29581
|
FINISHED |
| Object | Edward Alexander Bouchet, physics teacher |
—
|
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: Edward Alexander Bouchet, physics teacher | Statement: [Lincoln High School, Gallipolis, Ohio, facultyRole, Edward Alexander Bouchet, physics teacher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facultyRole Context triple: [Lincoln High School, Gallipolis, Ohio, facultyRole, Edward Alexander Bouchet, physics teacher]
-
A.
campusRole
chosen
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
B.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
C.
typeOfFaculty
Indicates the specific category or classification of faculty to which an academic staff member belongs (e.g., department, school, or faculty type).
-
D.
courseRole
Indicates the specific function or position an individual holds within a course, such as student, instructor, or assistant.
-
E.
hasFacultyIn
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15faaa0b081908d5aa8f3ba1e3dd3 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.