Triple
T13604207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Browne |
E325017
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ken Browne
Ken Browne is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Browne.
|
E1106216
|
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: Ken Browne | Statement: [Browne, hasNotableBearer, Ken Browne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Browne Context triple: [Browne, hasNotableBearer, Ken Browne]
-
A.
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.
-
B.
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.
-
C.
Brian Browne
Brian Browne is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Browne.
-
D.
Ian Browne
Ian Browne is a Canadian musician best known as the drummer for the rock band Matthew Good Band.
-
E.
Warren Brown
Warren Brown is a British actor best known for his role as DS Justin Ripley in the crime drama series "Luther."
- 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: Ken Browne Triple: [Browne, hasNotableBearer, Ken Browne]
Generated description
Ken Browne is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Browne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Browne Target entity description: Ken Browne is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Browne.
-
A.
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.
-
B.
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.
-
C.
Brian Browne
Brian Browne is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Browne.
-
D.
Ian Browne
Ian Browne is a Canadian musician best known as the drummer for the rock band Matthew Good Band.
-
E.
Warren Brown
Warren Brown is a British actor best known for his role as DS Justin Ripley in the crime drama series "Luther."
- 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_69fd8a9c41908190b789765861bd9924 |
completed | May 8, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_69fd8bd70488819083f40c38575f3071 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d4f2e848190a3c4c423c0ffed50 |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:50 p.m.