Triple
T32628433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Johnson (The Breakfast Club) |
E834127
|
entity |
| Predicate | socialStatusAtSchool |
P107788
|
FINISHED |
| Object | nerd |
—
|
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: nerd | Statement: [Brian Johnson (The Breakfast Club), socialStatusAtSchool, nerd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusAtSchool Context triple: [Brian Johnson (The Breakfast Club), socialStatusAtSchool, nerd]
-
A.
schoolSocialStatus
chosen
Indicates the relative level of social standing or prestige an individual holds within a school community.
-
B.
statusInSchool
Indicates the role, standing, or level an individual holds within an educational institution (e.g., student, teacher, grade level, or enrollment status).
-
C.
legalStatusInSchool
Indicates the legal standing or classification an individual holds within a school context (e.g., enrolled student, staff, visitor, or other legally defined role).
-
D.
studentsStatus
Indicates the current academic or enrollment status associated with one or more students.
-
E.
schoolStatus
Indicates the current educational situation or enrollment condition of an entity in relation to a school.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 1, 2026, 1:07 a.m.