Triple
T8143473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glaucon |
E190150
|
entity |
| Predicate | teacherStudentRelation |
P18487
|
FINISHED |
| Object | Student and follower of Socrates (as depicted by Plato) |
—
|
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: Student and follower of Socrates (as depicted by Plato) | Statement: [Glaucon, teacherStudentRelation, Student and follower of Socrates (as depicted by Plato)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teacherStudentRelation Context triple: [Glaucon, teacherStudentRelation, Student and follower of Socrates (as depicted by Plato)]
-
A.
notableStudentOrMentorRelationship
chosen
Indicates a notable educational or mentorship relationship between two individuals, where one has been a significant student or mentor of the other.
-
B.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
C.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
D.
teacherOrInfluence
Indicates that one entity serves as a teacher to, or has a significant influence on the development, behavior, or thinking of, another entity.
-
E.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.