Triple
T16097943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Bench |
E390533
|
entity |
| Predicate | judge |
P3169
|
FINISHED |
| Object | Tanya Acker |
E1197886
|
NE FINISHED |
How this triple was built (2 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: Tanya Acker | Statement: [Hot Bench, judge, Tanya Acker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Acker Context triple: [Hot Bench, judge, Tanya Acker]
-
A.
Tanya Acker
chosen
Tanya Acker is an American civil litigator and television personality best known as a judge on the courtroom reality show "Hot Bench."
-
B.
Kate Sacker
Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
-
C.
Karen Akers
Karen Akers is an American actress and cabaret singer known for her work on Broadway and in film, particularly in sophisticated musical and dramatic roles.
-
D.
Tanya Vogel
Tanya Vogel is a collegiate sports administrator best known for serving as the athletic director at George Washington University.
-
E.
Jane Brucker
Jane Brucker is an American actress best known for playing Lisa Houseman, the protagonist’s older sister, in the classic 1987 film "Dirty Dancing."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffeed4e008190b1e8d924b9dc9d37 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 4:59 a.m.