Triple
T14874426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bounce TV |
E349828
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jonathan Katz
Jonathan Katz is an American media executive best known as the founder of the African American–oriented broadcast television network Bounce TV.
|
E1127742
|
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: Jonathan Katz | Statement: [Bounce TV, foundedBy, Jonathan Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Katz Context triple: [Bounce TV, foundedBy, Jonathan Katz]
-
A.
Jonathan Katz
Jonathan Katz is an American comedian, actor, and writer best known for co-creating and starring in the animated series "Dr. Katz, Professional Therapist."
-
B.
Jonathan Klein
Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
-
C.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
D.
Lewis Katz
Lewis Katz was an American businessman, philanthropist, and co-owner of the Philadelphia Inquirer known for his major charitable contributions to education and medicine.
-
E.
Peter Katz
Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
- 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: Jonathan Katz Triple: [Bounce TV, foundedBy, Jonathan Katz]
Generated description
Jonathan Katz is an American media executive best known as the founder of the African American–oriented broadcast television network Bounce TV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Katz Target entity description: Jonathan Katz is an American media executive best known as the founder of the African American–oriented broadcast television network Bounce TV.
-
A.
Jonathan Katz
Jonathan Katz is an American comedian, actor, and writer best known for co-creating and starring in the animated series "Dr. Katz, Professional Therapist."
-
B.
Jonathan Klein
Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
-
C.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
D.
Lewis Katz
Lewis Katz was an American businessman, philanthropist, and co-owner of the Philadelphia Inquirer known for his major charitable contributions to education and medicine.
-
E.
Peter Katz
Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aad76c8190b024651483d8f9ff |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe7b078d0c8190ba80b6e96975fd6c |
completed | May 9, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7b26519c8190ba81d997e11a999f |
completed | May 9, 2026, 12:09 a.m. |
Created at: April 10, 2026, 1:55 a.m.