Triple
T2258334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Cole |
E49779
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | St. John’s University |
E210730
|
NE 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: St. John’s University | Statement: [J. Cole, educatedAt, St. John’s University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. John’s University Context triple: [J. Cole, educatedAt, St. John’s University]
-
A.
St. John’s University
chosen
St. John’s University is a private Roman Catholic university in New York City known for its diverse academic programs, strong professional schools, and Vincentian mission of service.
-
B.
Fordham University
Fordham University is a private Jesuit research university in New York City known for its strong liberal arts, business, and law programs.
-
C.
Fordham
Fordham is a village and civil parish in the East Cambridgeshire district of Cambridgeshire, England.
-
D.
Hofstra University
Hofstra University is a private university on Long Island, New York, known for its diverse academic programs and proximity to New York City.
-
E.
Seton Hall University
Seton Hall University is a private Roman Catholic university in South Orange, New Jersey, known for its strong programs in business, law, and international relations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15839fc8190b17e040c4c765a8c |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af65388fd48190995f778d6438f739 |
completed | March 10, 2026, 12:26 a.m. |
Created at: March 4, 2026, 7:48 p.m.