Triple
T8297765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northumbria University |
E194264
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object |
Tim Brown
Tim Brown is a notable alumnus of Northumbria University recognized for his professional achievements after graduating from the institution.
|
E724426
|
NE FINISHED |
How this triple was built (4 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: Tim Brown | Statement: [Northumbria University, hasNotableAlumni, Tim Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Brown Context triple: [Northumbria University, hasNotableAlumni, Tim Brown]
-
A.
Tim Brown
Tim Brown is a Pro Football Hall of Fame wide receiver best known for his long, prolific NFL career primarily with the Raiders.
-
B.
Albert Joseph Brown III
Albert Joseph Brown III, better known as Al B. Sure!, is an American R&B singer, songwriter, and record producer who rose to fame in the late 1980s as a key figure in the new jack swing era.
-
C.
Ryan Brown
Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
-
D.
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
E.
Timothy “Tee” Brown
Timothy “Tee” Brown is a music producer best known for his work on the Kanye West track “Use This Gospel.”
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tim Brown Triple: [Northumbria University, hasNotableAlumni, Tim Brown]
Generated description
Tim Brown is a notable alumnus of Northumbria University recognized for his professional achievements after graduating from the institution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Brown Target entity description: Tim Brown is a notable alumnus of Northumbria University recognized for his professional achievements after graduating from the institution.
-
A.
Tim Brown
Tim Brown is a Pro Football Hall of Fame wide receiver best known for his long, prolific NFL career primarily with the Raiders.
-
B.
Albert Joseph Brown III
Albert Joseph Brown III, better known as Al B. Sure!, is an American R&B singer, songwriter, and record producer who rose to fame in the late 1980s as a key figure in the new jack swing era.
-
C.
Ryan Brown
Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
-
D.
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
E.
Timothy “Tee” Brown
Timothy “Tee” Brown is a music producer best known for his work on the Kanye West track “Use This Gospel.”
- F. None of above. chosen
Provenance (5 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7dfa040c8190ab801b3910e39142 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68b6ad30819090d34d8e79cee634 |
completed | April 1, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69cd6d574ba88190a2538897d201d8c4 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e536724819095ad006bc0f013a4 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:53 p.m.