Triple
T33539871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scholarship and Mentoring Program |
E859041
|
entity |
| Predicate | mentorType |
P176870
|
FINISHED |
| Object | elite sporting mentors |
—
|
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: elite sporting mentors | Statement: [Scholarship and Mentoring Program, mentorType, elite sporting mentors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentorType Context triple: [Scholarship and Mentoring Program, mentorType, elite sporting mentors]
-
A.
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.
-
B.
mentorOrAppointer
Indicates a relationship where one entity either serves as a mentor to another or is responsible for appointing that entity to a role or position.
-
C.
trainer
Indicates a relationship where one entity teaches, coaches, or prepares another entity to develop skills, knowledge, or performance in a particular domain.
-
D.
mentorshipModel
Indicates a relationship where one entity provides guidance, support, and expertise to help another entity develop skills, knowledge, or professional growth.
-
E.
mentorCharacter
Indicates that one character serves as a mentor, providing guidance, teaching, or support to another character.
- F. None of above. chosen
Provenance (4 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:39 a.m.