Triple
T14151878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhea Seehorn |
E350702
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kim Wexler |
E408316
|
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: Kim Wexler | Statement: [Rhea Seehorn, notableWork, Kim Wexler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Wexler Context triple: [Rhea Seehorn, notableWork, Kim Wexler]
-
A.
Kim Wexler
chosen
Kim Wexler is a highly skilled and morally conflicted attorney whose complex relationship with Jimmy McGill/Saul Goodman is central to the character-driven drama of Better Call Saul.
-
B.
Howard Hamlin
Howard Hamlin is a high-powered, image-conscious attorney and partner at the law firm Hamlin, Hamlin & McGill in the television series "Better Call Saul."
-
C.
Michael Ross
Michael Ross was an American television writer and producer best known for co-creating influential sitcoms such as The Jeffersons.
-
D.
Michael Ross
Michael Ross is a film editor known for his work on the documentary "The True Cost," which examines the global impact of the fashion industry.
-
E.
Saul Goodman
Saul Goodman is a flamboyant, morally flexible criminal lawyer known for his shady legal tactics and comic relief in the Breaking Bad universe.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ea34408190830263d7f5a88ce9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:57 a.m.