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.