Triple
T11505080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Browne |
E272761
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nick Browne
Nick Browne is a former English cricketer best known as an opening batsman for Essex County Cricket Club.
|
E936791
|
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: Nick Browne | Statement: [Browne, hasNotableBearer, Nick Browne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Browne Context triple: [Browne, hasNotableBearer, Nick Browne]
-
A.
Chris Browne
Chris Browne is a baseball executive best known for serving as commissioner of the independent Northern League.
-
B.
Michael Byrne
Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
-
C.
Eric Browne
Eric Browne is a technology entrepreneur best known as a co-founder of the collaborative work management platform Smartsheet.
-
D.
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.
-
E.
Brian Probyn
Brian Probyn is a British cinematographer known for his work on films such as the 1969 drama "The Intruders."
- 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: Nick Browne Triple: [Browne, hasNotableBearer, Nick Browne]
Generated description
Nick Browne is a former English cricketer best known as an opening batsman for Essex County Cricket Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Browne Target entity description: Nick Browne is a former English cricketer best known as an opening batsman for Essex County Cricket Club.
-
A.
Chris Browne
Chris Browne is a baseball executive best known for serving as commissioner of the independent Northern League.
-
B.
Michael Byrne
Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
-
C.
Eric Browne
Eric Browne is a technology entrepreneur best known as a co-founder of the collaborative work management platform Smartsheet.
-
D.
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.
-
E.
Brian Probyn
Brian Probyn is a British cinematographer known for his work on films such as the 1969 drama "The Intruders."
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db2f4b08190801de1b773932f59 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86853e088190a9c1378aad45fa18 |
completed | April 26, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69ee9cf1cb2481908bc473c87bc42d60 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd31894481908dbd55f605c693f9 |
completed | April 27, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:36 p.m.