Triple

T13604196
Position Surface form Disambiguated ID Type / Status
Subject Browne E325017 entity
Predicate hasNotableBearer P458 FINISHED
Object Kevin Browne
Kevin Browne is a personal name shared by multiple individuals, including professionals and public figures in fields such as sports and the arts.
E1083456 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: Kevin Browne | Statement: [Browne, hasNotableBearer, Kevin Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Browne
Context triple: [Browne, hasNotableBearer, Kevin Browne]
  • A. Jeff Browne
    Jeff Browne is an Australian football administrator and lawyer best known for serving as president of the Collingwood Football Club in the Australian Football League.
  • B. Kevin Brodbin
    Kevin Brodbin is a screenwriter known for his work on genre films, including the psychological thriller "Mindhunters."
  • C. Chris Browne
    Chris Browne is a baseball executive best known for serving as commissioner of the independent Northern League.
  • D. Chris Browne
    Chris Browne is an American cartoonist best known for taking over and drawing the long-running comic strip "Hägar the Horrible."
  • E. Nick Browne
    Nick Browne is a former English cricketer best known as an opening batsman for Essex County Cricket Club.
  • 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: Kevin Browne
Triple: [Browne, hasNotableBearer, Kevin Browne]
Generated description
Kevin Browne is a personal name shared by multiple individuals, including professionals and public figures in fields such as sports and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kevin Browne
Target entity description: Kevin Browne is a personal name shared by multiple individuals, including professionals and public figures in fields such as sports and the arts.
  • A. Jeff Browne
    Jeff Browne is an Australian football administrator and lawyer best known for serving as president of the Collingwood Football Club in the Australian Football League.
  • B. Kevin Brodbin
    Kevin Brodbin is a screenwriter known for his work on genre films, including the psychological thriller "Mindhunters."
  • C. Chris Browne
    Chris Browne is a baseball executive best known for serving as commissioner of the independent Northern League.
  • D. Chris Browne
    Chris Browne is an American cartoonist best known for taking over and drawing the long-running comic strip "Hägar the Horrible."
  • E. Nick Browne
    Nick Browne is a former English cricketer best known as an opening batsman for Essex County Cricket Club.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ce06488190b18e48dfba240024 completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd033550c8819081efffedd3beaa71 completed May 7, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69fd03f8ea2c8190a30cb7d5840db757 completed May 7, 2026, 9:28 p.m.
Created at: April 9, 2026, 9:50 p.m.