Triple
T30387554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Summer of Code |
E772988
|
entity |
| Predicate | hasMentorship |
P169145
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Google Summer of Code, hasMentorship, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMentorship Context triple: [Google Summer of Code, hasMentorship, yes]
-
A.
hasMentorFullName
Indicates that an entity has a mentor whose full name is specified by the associated value.
-
B.
hasMentorNickname
Indicates that one entity is known by or uses a specific nickname given or used by their mentor.
-
C.
hasAdvising
Indicates that one entity provides guidance, counseling, or advisory support to another entity.
-
D.
mentorshipModel
chosen
Indicates a relationship where one entity provides guidance, support, and expertise to help another entity develop skills, knowledge, or professional growth.
-
E.
hasCoachingExperienceAs
Indicates that an entity has experience providing coaching in a specified role or capacity.
- 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 29, 2026, 8:01 p.m.