Triple
T16626504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Knights of Prosperity |
E403959
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Jon Beckerman
Jon Beckerman is an American television writer and producer best known for co-creating the sitcoms "The Knights of Prosperity" and "Ed."
|
E1224746
|
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: Jon Beckerman | Statement: [The Knights of Prosperity, creator, Jon Beckerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Beckerman Context triple: [The Knights of Prosperity, creator, Jon Beckerman]
-
A.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
B.
Michael Begler
Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
-
C.
Eric Beck
Eric Beck is an American rock climber known for pioneering significant first ascents, including the classic Yosemite route Snake Dike on Half Dome.
-
D.
Greg Bratman
Greg Bratman is a television writer and producer best known for co-creating the Fox sitcom "Sons of Tucson."
-
E.
Michael Beckmann
Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
- 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: Jon Beckerman Triple: [The Knights of Prosperity, creator, Jon Beckerman]
Generated description
Jon Beckerman is an American television writer and producer best known for co-creating the sitcoms "The Knights of Prosperity" and "Ed."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Beckerman Target entity description: Jon Beckerman is an American television writer and producer best known for co-creating the sitcoms "The Knights of Prosperity" and "Ed."
-
A.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
B.
Michael Begler
Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
-
C.
Eric Beck
Eric Beck is an American rock climber known for pioneering significant first ascents, including the classic Yosemite route Snake Dike on Half Dome.
-
D.
Greg Bratman
Greg Bratman is a television writer and producer best known for co-creating the Fox sitcom "Sons of Tucson."
-
E.
Michael Beckmann
Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e375530ed081908337dc5c6360d733 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dba91bc819090a78ac4c0c01fc8 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e747eac81908b0b5a2072a177dd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.