Triple
T16461734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC News at Five |
E399821
|
entity |
| Predicate | hasHost |
P2592
|
FINISHED |
| Object |
Ben Brown
Ben Brown is a British journalist and news presenter best known for his long-standing role as a BBC News anchor.
|
E1225506
|
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: Ben Brown | Statement: [BBC News at Five, hasHost, Ben Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Brown Context triple: [BBC News at Five, hasHost, Ben Brown]
-
A.
Russ Brown
Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
-
B.
Jonathan Brown
Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
-
C.
Jonathan Brown
Jonathan Brown is an individual known primarily as the son of Mr. Brown.
-
D.
Frank Brownlee
Frank Brownlee was an American character actor of the silent and early sound film era, known for his numerous supporting roles in Westerns and adventure films.
-
E.
Andrew Brown
Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
- 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: Ben Brown Triple: [BBC News at Five, hasHost, Ben Brown]
Generated description
Ben Brown is a British journalist and news presenter best known for his long-standing role as a BBC News anchor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Brown Target entity description: Ben Brown is a British journalist and news presenter best known for his long-standing role as a BBC News anchor.
-
A.
Russ Brown
Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
-
B.
Jonathan Brown
Jonathan Brown is an individual known primarily as the son of Mr. Brown.
-
C.
Jonathan Brown
Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
-
D.
Frank Brownlee
Frank Brownlee was an American character actor of the silent and early sound film era, known for his numerous supporting roles in Westerns and adventure films.
-
E.
Andrew Brown
Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d819d548190bc76a0ec2e223437 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084aa47408190abe2ffaab84cdd85 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a0085c047f081908d7aa4b8ae5194b9 |
completed | May 10, 2026, 1:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00863e69548190bb8508428c139e05 |
completed | May 10, 2026, 1:21 p.m. |
Created at: April 10, 2026, 5:10 a.m.