Triple
T15909251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretchen Wieners |
E385802
|
entity |
| Predicate | schoolRole |
P121011
|
FINISHED |
| Object | member of popular clique |
—
|
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: member of popular clique | Statement: [Gretchen Wieners, schoolRole, member of popular clique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolRole Context triple: [Gretchen Wieners, schoolRole, member of popular clique]
-
A.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
-
B.
schoolBelongsTo
Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative entity.
-
C.
courseRole
Indicates the specific function or position an individual holds within a course, such as student, instructor, or assistant.
-
D.
schoolPhase
Indicates the specific stage or level within an educational system at which the related entity operates or applies.
-
E.
studentSectionRole
Indicates the specific role or capacity (e.g., participant, assistant, auditor) that a student holds within a particular course section.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:52 a.m.