Triple
T34062016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Septimus Hodge |
E873515
|
entity |
| Predicate | isTutorOf |
P48
|
FINISHED |
| Object | Thomasina Coverly |
—
|
NE NERFINISHED |
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: Thomasina Coverly | Statement: [Septimus Hodge, isTutorOf, Thomasina Coverly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTutorOf Context triple: [Septimus Hodge, isTutorOf, Thomasina Coverly]
-
A.
isTaughtTo
Indicates that some knowledge, skill, or subject is being instructed or conveyed by a teacher or source to a learner or recipient.
-
B.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
-
C.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
D.
areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
-
E.
hasStudents
chosen
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70b9d235881908d6f8c60dfc73fc1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.