Triple
T10146790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.I. Newhouse School of Public Communications |
E231722
|
entity |
| Predicate | hasAlumniField |
P92502
|
FINISHED |
| Object | journalism |
—
|
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: journalism | Statement: [S.I. Newhouse School of Public Communications, hasAlumniField, journalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlumniField Context triple: [S.I. Newhouse School of Public Communications, hasAlumniField, journalism]
-
A.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
B.
hasAlumniOutcome
Indicates that an entity has a specific outcome or post-completion status associated with its alumni.
-
C.
hasAlumniNetwork
Indicates that an entity maintains or is associated with an organized network or community of its former members or graduates.
-
D.
hasAlumnusPosition
Indicates that an individual holds or has held a position or role as an alumnus of a particular institution or organization.
-
E.
hasAlumniInvolvement
Indicates that an entity maintains an ongoing relationship or engagement with its former members or graduates.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdebffb7688190b5def02f72154b14 |
completed | April 2, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd51bc440c819086320900701f87c2 |
completed | April 1, 2026, 5:11 p.m. |
Created at: March 30, 2026, 9:07 p.m.