Triple
T28622581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Brown |
E724426
|
entity |
| Predicate | hasProfessionalRecognitionFrom |
P61493
|
FINISHED |
| Object | Northumbria University |
—
|
NE NERFINISHED |
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: Northumbria University | Statement: [Tim Brown, hasProfessionalRecognitionFrom, Northumbria University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalRecognitionFrom Context triple: [Tim Brown, hasProfessionalRecognitionFrom, Northumbria University]
-
A.
hasNotableRecognitionFor
Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
-
B.
hasAcademicRecognition
chosen
Indicates that an entity has received some form of academic honor, award, or formal recognition from an educational or scholarly institution.
-
C.
isProfessionalAward
Indicates that the award in question is a formal recognition given within a professional or occupational context.
-
D.
yearProfessionalismRecognized
Indicates the year in which an entity’s professional status, achievement, or qualification was formally recognized.
-
E.
awardsAndRecognition
Indicates that one entity has received specific awards, honors, or recognitions associated with or granted by another entity.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 28, 2026, 4:34 a.m.