Triple
T17256003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBS Media Ventures |
E418880
|
entity |
| Predicate | distributes |
P1951
|
FINISHED |
| Object |
Hot Bench
Hot Bench is an American courtroom reality television series featuring a panel of judges who hear and deliberate on small-claims cases.
|
E1258996
|
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: Hot Bench | Statement: [CBS Media Ventures, distributes, Hot Bench]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Bench Context triple: [CBS Media Ventures, distributes, Hot Bench]
-
A.
Benched
Benched is a television series featuring Mehcad Brooks in a prominent role.
-
B.
The Bench
The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
-
C.
The Bench
The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
-
D.
The Bench
"The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
-
E.
Benchers
Benchers are senior members of the Inns of Court in England and Wales who are responsible for governing and overseeing the administration, discipline, and affairs of their respective Inn.
- 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: Hot Bench Triple: [CBS Media Ventures, distributes, Hot Bench]
Generated description
Hot Bench is an American courtroom reality television series featuring a panel of judges who hear and deliberate on small-claims cases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hot Bench Target entity description: Hot Bench is an American courtroom reality television series featuring a panel of judges who hear and deliberate on small-claims cases.
-
A.
Benched
Benched is a television series featuring Mehcad Brooks in a prominent role.
-
B.
The Bench
The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
-
C.
The Bench
The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
-
D.
The Bench
"The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
-
E.
Benchers
Benchers are senior members of the Inns of Court in England and Wales who are responsible for governing and overseeing the administration, discipline, and affairs of their respective Inn.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ceb9c8190a4eeaf10e90cd5a0 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fd7f7c81908f417fa758e861a2 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01722af058819099ed80edbd2f5d0a |
completed | May 11, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0172cfe09081908bb64fc39bd2f46d |
completed | May 11, 2026, 6:10 a.m. |
Created at: April 10, 2026, 5:39 a.m.