Triple
T13936396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelot (TV series) |
E335131
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
John Weber
John Weber is a television producer best known for his executive production work on series such as the historical fantasy drama "Camelot."
|
E1069541
|
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: John Weber | Statement: [Camelot (TV series), executiveProducer, John Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Weber Context triple: [Camelot (TV series), executiveProducer, John Weber]
-
A.
John Weber
John Weber is a television producer best known for his executive production work on the historical drama series "The Tudors."
-
B.
Paul Weber
Paul Weber is a relatively common personal name shared by multiple individuals across various professions, such as arts, sports, and academia.
-
C.
Peter J. Weber
Peter J. Weber was an architect known for his work on the annex of Chicago’s historic Fisher Building.
-
D.
Michael H. Weber
Michael H. Weber is an American screenwriter best known for co-writing acclaimed romantic dramas and young adult film adaptations such as (500) Days of Summer and The Fault in Our Stars.
-
E.
Carl Weiss
Carl Weiss was a Louisiana physician historically known as the alleged assassin of U.S. Senator Huey P. Long in 1935.
- 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: John Weber Triple: [Camelot (TV series), executiveProducer, John Weber]
Generated description
John Weber is a television producer best known for his executive production work on series such as the historical fantasy drama "Camelot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Weber Target entity description: John Weber is a television producer best known for his executive production work on series such as the historical fantasy drama "Camelot."
-
A.
John Weber
John Weber is a television producer best known for his executive production work on the historical drama series "The Tudors."
-
B.
Paul Weber
Paul Weber is a relatively common personal name shared by multiple individuals across various professions, such as arts, sports, and academia.
-
C.
Peter J. Weber
Peter J. Weber was an architect known for his work on the annex of Chicago’s historic Fisher Building.
-
D.
Michael H. Weber
Michael H. Weber is an American screenwriter best known for co-writing acclaimed romantic dramas and young adult film adaptations such as (500) Days of Summer and The Fault in Our Stars.
-
E.
Carl Weiss
Carl Weiss was a Louisiana physician historically known as the alleged assassin of U.S. Senator Huey P. Long in 1935.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce880a98819086ae25d3408bc723 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f7cf24c9d88190b6e93859cb3659ef |
completed | May 3, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cfa34a448190affb5b86efc37cf4 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 9, 2026, 10:17 p.m.