Triple
T31709929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyle Craig |
E809290
|
entity |
| Predicate | mentorStudentRelationshipWith |
P18487
|
FINISHED |
| Object | Frank Rourke |
—
|
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: Frank Rourke | Statement: [Kyle Craig, mentorStudentRelationshipWith, Frank Rourke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentorStudentRelationshipWith Context triple: [Kyle Craig, mentorStudentRelationshipWith, Frank Rourke]
-
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.
relationshipToStudents
Indicates the type or nature of connection one entity has with students, such as role, affiliation, or responsibility toward them.
-
C.
mentorOrPartner
Indicates a relationship in which one entity either provides guidance and support to another as a mentor or collaborates with them on relatively equal footing as a partner.
-
D.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
-
E.
examRelationship
Indicates a relationship between an exam and another entity, such as who took it, administered it, or is otherwise associated with it.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:15 p.m.